chore(dependencies): Bump lerobot to 0.5.0 (#3117 )

chore(deps): update requirements file (#3114 )
test(cameras): skip flaky async_read test (#3106 )
2026-05-31 10:51:35 +00:00 · 2026-03-09 11:34:52 +01:00 · 2026-03-09 11:18:05 +01:00 · 2026-03-08 14:02:33 +01:00 · 2026-03-08 14:01:43 +01:00 · 2026-03-08 13:00:06 +01:00
35 changed files with 2020 additions and 1116 deletions
--- a/.github/workflows/full_tests.yml
+++ b/.github/workflows/full_tests.yml
@@ -202,6 +202,7 @@ jobs:
    runs-on: ubuntu-latest
    steps:
      - name: Get Docker Hub Token and Delete Image
        # zizmor: ignore[template-injection]
        env:
          DOCKERHUB_LEROBOT_USERNAME: ${{ secrets.DOCKERHUB_LEROBOT_USERNAME }}
          DOCKERHUB_LEROBOT_PASSWORD: ${{ secrets.DOCKERHUB_LEROBOT_PASSWORD }}
@@ -233,4 +234,4 @@ jobs:
            exit 1
          fi
-# TODO(Steven): Check dockerimages pull in ubuntu
+# TODO(Steven): Check dockerimages pull in ubuntu
--- a/README.md
+++ b/README.md
@@ -135,7 +135,7 @@ Learn how to implement your own simulation environment or benchmark and distribu
 ## Citation
-If you use LeRobot in your research, please cite:
+If you use LeRobot in your project, please cite the GitHub repository to acknowledge the ongoing development and contributors:
 ```bibtex
@misc{cadene2024lerobot,
@@ -146,6 +146,23 @@ If you use LeRobot in your research, please cite:
 }
 ```
 If you are referencing our research or the academic paper, please also cite our ICLR publication:
 <details>
 <summary><b>ICLR 2026 Paper</b></summary>
 ```bibtex
@inproceedings{cadenelerobot,
  title={LeRobot: An Open-Source Library for End-to-End Robot Learning},
  author={Cadene, Remi and Alibert, Simon and Capuano, Francesco and Aractingi, Michel and Zouitine, Adil and Kooijmans, Pepijn and Choghari, Jade and Russi, Martino and Pascal, Caroline and Palma, Steven and Shukor, Mustafa and Moss, Jess and Soare, Alexander and Aubakirova, Dana and Lhoest, Quentin and Gallou\'edec, Quentin and Wolf, Thomas},
  booktitle={The Fourteenth International Conference on Learning Representations},
  year={2026},
  url={https://arxiv.org/abs/2602.22818}
 }
 ```
 </details>
 ## Contribute
 We welcome contributions from everyone in the community! To get started, please read our [CONTRIBUTING.md](./CONTRIBUTING.md) guide. Whether you're adding a new feature, improving documentation, or fixing a bug, your help and feedback are invaluable. We're incredibly excited about the future of open-source robotics and can't wait to work with you on what's next—thank you for your support!
--- a/docs/source/installation.mdx
+++ b/docs/source/installation.mdx
@@ -1,8 +1,8 @@
 # Installation
-This guide uses conda (via miniforge) to manage environments. If you prefer another environment manager (e.g. `uv`, `venv`), ensure you have Python >=3.12 and ffmpeg installed with the `libsvtav1` encoder, then skip ahead to [Install LeRobot](#step-3-install-lerobot-).
+This guide uses `conda` (via miniforge) to manage environments (recommended). If you prefer another environment manager (e.g. `uv`, `venv`), ensure you have Python >=3.12 and `ffmpeg` installed with the `libsvtav1` encoder, then skip ahead to [Environment Setup](#step-2-environment-setup).
-## Step 1: Install [`miniforge`](https://conda-forge.org/download/)
+## Step 1 (`conda` only): Install [`miniforge`](https://conda-forge.org/download/)
 ```bash
 wget "https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh"
@@ -11,22 +11,47 @@ bash Miniforge3-$(uname)-$(uname -m).sh
 ## Step 2: Environment Setup
-Create a virtual environment with Python 3.12, using conda:
+Create a virtual environment with Python 3.12:
 <!-- prettier-ignore-start -->
 <hfoptions id="create_venv">
 <hfoption id="conda">
 ```bash
 conda create -y -n lerobot python=3.12
 ```
-
+</hfoption>
-Then activate your conda environment, you have to do this each time you open a shell to use lerobot:
+<hfoption id="uv">
 ```bash
-conda activate lerobot
+uv python install 3.12
 uv venv --python 3.12
 ```
 </hfoption>
 </hfoptions>
 <!-- prettier-ignore-end -->
 Then activate your virtual environment, you have to do this each time you open a shell to use lerobot:
 <!-- prettier-ignore-start -->
 <hfoptions id="activate_venv">
 <hfoption id="conda">```bash
 conda activate lerobot
 ```</hfoption>
 <hfoption id="uv">
 ```bash
 # Linux/macOSsource
 source .venv/bin/activate
 # Windows PowerShell
 source .venv\Scripts\Activate.ps1
 ```
 </hfoption>
 </hfoptions>
 <!-- prettier-ignore-end -->
 When using `conda`, install `ffmpeg` in your environment:
 ```bash
 conda install ffmpeg -c conda-forge
 ffmpeg -version  # ffmpeg 8.X is not yet supported !
 ```
 > [!TIP]
@@ -47,6 +72,9 @@ conda install ffmpeg -c conda-forge
 > conda install evdev -c conda-forge
 > ```
 > [!IMPORTANT]
 > If you are using `uv` you will have to install `ffmpeg` system-wide (outside of the virtual environment). You rely on `uv` and `torchcodec` ability to dynamically link to the system `ffmpeg`.
 ## Step 3: Install LeRobot 🤗
 ### From Source
@@ -60,23 +88,45 @@ cd lerobot
 Then, install the library in editable mode. This is useful if you plan to contribute to the code.
 <!-- prettier-ignore-start -->
 <hfoptions id="install_lerobot_src">
 <hfoption id="conda">
 ```bash
 pip install -e .
 ```
 </hfoption>
 <hfoption id="uv">
 ```bash
 uv pip install -e .
 ```
 </hfoption>
 </hfoptions>
 <!-- prettier-ignore-end -->
 ### Installation from PyPI
 **Core Library:**
 Install the base package with:
 <!-- prettier-ignore-start -->
 <hfoptions id="install_lerobot_pypi">
 <hfoption id="conda">
 ```bash
 pip install lerobot
 ```
 </hfoption>
 <hfoption id="uv">
 ```bash
 uv pip install lerobot
 ```
 </hfoption>
 </hfoptions>
 <!-- prettier-ignore-end -->
 _This installs only the default dependencies._
 **Extra Features:**
-To install additional functionality, use one of the following:
+To install additional functionality, use one of the following (If you are using `uv`, replace `pip install` with `uv pip install` in the commands below.):
 ```bash
 pip install 'lerobot[all]'          # All available features
@@ -93,7 +143,7 @@ https://pypi.org/project/lerobot/
 ### Troubleshooting
 If you encounter build errors, you may need to install additional dependencies: `cmake`, `build-essential`, and `ffmpeg libs`.
-To install these for linux run:
+To install these for Linux run:
 ```bash
 sudo apt-get install cmake build-essential python3-dev pkg-config libavformat-dev libavcodec-dev libavdevice-dev libavutil-dev libswscale-dev libswresample-dev libavfilter-dev
@@ -103,7 +153,7 @@ For other systems, see: [Compiling PyAV](https://pyav.org/docs/develop/overview/
 ## Optional dependencies
-LeRobot provides optional extras for specific functionalities. Multiple extras can be combined (e.g., `.[aloha,feetech]`). For all available extras, refer to `pyproject.toml`.
+LeRobot provides optional extras for specific functionalities. Multiple extras can be combined (e.g., `.[aloha,feetech]`). For all available extras, refer to `pyproject.toml`. If you are using `uv`, replace `pip install` with `uv pip install` in the commands below.
 ### Simulations
--- a/docs/source/unitree_g1.mdx
+++ b/docs/source/unitree_g1.mdx
@@ -1,23 +1,49 @@
 # Unitree G1
-This guide covers the complete setup process for the Unitree G1 humanoid, from initial connection to running gr00t_wbc locomotion.
+<img
  src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/lerobot/unitree_thumbnail.jpg"
  alt="Unitree G1 locomanipulation demo"
  style={{ width: "100%" }}
 />
-## About
+The Unitree G1 humanoid is now supported in LeRobot! You can teleoperate, train locomanipulation policies, test in sim, and more. Both 29 and 23 DoF variants are supported.
 We support both 29 and 23 DOF G1 EDU version. We introduce:
 - **`unitree g1` robot class, handling low level read/write from/to the humanoid**
 - **ZMQ socket bridge** for remote communication and camera streaming, allowing for remote policy deployment over wlan, eth or directly on the robot
 - **Locomotion policies** from NVIDIA gr00t and Amazon FAR Holosoma
 - **Simulation mode** for testing policies without the physical robot in mujoco
 ---
-## Connection guide
+## Part 1: Getting Started
-### Step 1: Configure Ethernet Interface
+### Install LeRobot on Your Machine
-Set a static IP on the same subnet as the robot:
+```bash
 conda create -y -n lerobot python=3.12
 conda activate lerobot
 git clone https://github.com/unitreerobotics/unitree_sdk2_python.git
 cd unitree_sdk2_python && pip install -e .
 git clone https://github.com/huggingface/lerobot.git
 cd lerobot
 pip install -e '.[unitree_g1]'
 ```
 ### Test the Installation (Simulation)
 ```bash
 lerobot-teleoperate \
  --robot.type=unitree_g1 \
  --robot.is_simulation=true \
  --teleop.type=unitree_g1 \
  --teleop.id=wbc_unitree \
  --robot.cameras='{"global_view": {"type": "zmq", "server_address": "localhost", "port": 5555, "camera_name": "head_camera", "width": 640, "height": 480, "fps": 30}}' \
  --display_data=true
 ```
 This will launch a [MuJoCo sim instance](https://huggingface.co/lerobot/unitree-g1-mujoco/tree/main) for the G1.
 - Press `9` to release the robot
 - Press `7` / `8` to increase / decrease waist height
 ### Connect to the Robot
 The G1's Ethernet IP is fixed at `192.168.123.164`. Your machine must have a static IP on the same subnet: `192.168.123.x` where `x ≠ 164`.
 ```bash
 # Replace 'enp131s0' with your ethernet interface name (check with `ip a`)
@@ -26,272 +52,200 @@ sudo ip addr add 192.168.123.200/24 dev enp131s0
 sudo ip link set enp131s0 up
 ```
-**Note**: The G1's Ethernet IP is fixed at `192.168.123.164`. Your computer must use `192.168.123.x` with x ≠ 164.
+### SSH into the Robot
 ### Step 2: SSH into the Robot
 ```bash
 ssh unitree@192.168.123.164
 # Password: 123
 ```
-You should now be connected to the G1's Orin.
+### Install LeRobot on the G1
 From the robot:
 ```bash
 conda create -y -n lerobot python=3.12
 conda activate lerobot
 git clone https://github.com/unitreerobotics/unitree_sdk2_python.git
 cd unitree_sdk2_python && pip install -e .
 git clone https://github.com/huggingface/lerobot.git
 cd lerobot
 pip install -e '.[unitree_g1]'
 ```
 > **Note:** The Unitree SDK requires CycloneDDS v0.10.2. See the [Unitree SDK docs](https://github.com/unitreerobotics/unitree_sdk2_python) for details.
 ---
 ## Part 2: Enable WiFi on the Robot
-Wlan0 is disabled by default on the G1. To enable it:
+Wi-Fi connectivity is blocked by default on the G1. To activate:
 ### Step 1: Enable WiFi Hardware
 ```bash
 sudo rfkill unblock wifi
 sudo rfkill unblock all
 # Bring up wlan0
 sudo ip link set wlan0 up
 # Enable NetworkManager control of wlan0
 sudo nmcli radio wifi on
 sudo nmcli device set wlan0 managed yes
 sudo systemctl restart NetworkManager
 ```
-### Step 2: Enable Internet Forwarding
+**On your laptop** (share internet via Ethernet):
 **On your laptop:**
 ```bash
 # Enable IP forwarding
 sudo sysctl -w net.ipv4.ip_forward=1
-# Set up NAT (replace wlp132s0f0 with your WiFi interface)
+# Replace wlp132s0f0 with your WiFi interface name
 sudo iptables -t nat -A POSTROUTING -o wlp132s0f0 -s 192.168.123.0/24 -j MASQUERADE
 sudo iptables -A FORWARD -i wlp132s0f0 -o enp131s0 -m state --state RELATED,ESTABLISHED -j ACCEPT
 sudo iptables -A FORWARD -i enp131s0 -o wlp132s0f0 -j ACCEPT
 ```
-**On the G1:**
+**On the G1** (set default route through your laptop):
 ```bash
 # Add laptop as default gateway
 sudo ip route del default 2>/dev/null || true
 sudo ip route add default via 192.168.123.200 dev eth0
 echo "nameserver 8.8.8.8" | sudo tee /etc/resolv.conf
-# Test connection
+# Verify
 ping -c 3 8.8.8.8
 ```
-### Step 3: Connect to WiFi Network
+**Connect to a WiFi network:**
 ```bash
 # List available networks
 nmcli device wifi list
 # Connect to your WiFi (example)
 sudo nmcli connection add type wifi ifname wlan0 con-name "YourNetwork" ssid "YourNetwork"
 sudo nmcli connection modify "YourNetwork" wifi-sec.key-mgmt wpa-psk
 sudo nmcli connection modify "YourNetwork" wifi-sec.psk "YourPassword"
 sudo nmcli connection modify "YourNetwork" connection.autoconnect yes
 sudo nmcli connection up "YourNetwork"
 # Check WiFi IP address
 ip a show wlan0
 ```
-### Step 4: SSH Over WiFi
+You can now SSH over WiFi:
 Once connected to WiFi, note the robot's IP address and disconnect the Ethernet cable. You can now SSH over WiFi:
 ```bash
-ssh unitree@<YOUR_ROBOT_IP>
+ssh unitree@<ROBOT_WIFI_IP>
 # Password: 123
 ```
 Replace `<YOUR_ROBOT_IP>` with your robot's actual WiFi IP address.
 ---
-## Part 3: Robot Server Setup
+## Part 3: Teleoperation & Locomotion
-### Step 1: Install LeRobot on the Orin
+### Run the Robot Server
 SSH into the robot and install LeRobot:
 ```bash
 ssh unitree@<YOUR_ROBOT_IP>
 conda create -y -n lerobot python=3.12
 conda activate lerobot
 git clone https://github.com/huggingface/lerobot.git
 cd lerobot
 pip install -e '.[unitree_g1]'
 git clone https://github.com/unitreerobotics/unitree_sdk2_python.git
 cd unitree_sdk2_python  && pip install -e .
 ```
 **Note**: The Unitree SDK requires CycloneDDS v0.10.2 to be installed. See the [Unitree SDK documentation](https://github.com/unitreerobotics/unitree_sdk2_python) for details.
 ### Step 2: Run the Robot Server
 On the robot:
 ```bash
-python src/lerobot/robots/unitree_g1/run_g1_server.py
+python src/lerobot/robots/unitree_g1/run_g1_server.py --camera
 ```
-**Important**: Keep this terminal running. The server must be active for remote control.
+### Run the Locomotion Policy
 ```bash
 lerobot-teleoperate \
  --robot.type=unitree_g1 \
  --robot.is_simulation=false \
  --robot.robot_ip=<ROBOT_IP> \
  --teleop.type=unitree_g1 \
  --teleop.id=wbc_unitree \
  --robot.cameras='{"global_view": {"type": "zmq", "server_address": "<ROBOT_IP>", "port": 5555, "camera_name": "head_camera", "width": 640, "height": 480, "fps": 30}}' \
  --display_data=true \
  --robot.controller=HolosomaLocomotionController
 ```
 We support both [HolosomaLocomotionController](https://github.com/amazon-far/holosoma) and [GrootLocomotionController](https://github.com/NVlabs/GR00T-WholeBodyControl).
 ---
-## Part 4: Controlling the robot
+## Part 4: Loco-Manipulation with the Homunculus Exoskeleton
-With the robot server running, you can now control the robot remotely. Let's launch a locomotion policy
+We provide a loco-manipulation solution via the Homunculus Exoskeleton — an open-source 7 DoF exoskeleton for whole-body control. Assembly instructions [here](https://github.com/nepyope/hmc_exo).
-### Step 1: Install LeRobot on your machine
+### Calibrate
 ```bash
 conda create -y -n lerobot python=3.12
 conda activate lerobot
 git clone https://github.com/huggingface/lerobot.git
 cd lerobot
 pip install -e '.[unitree_g1]'
 git clone https://github.com/unitreerobotics/unitree_sdk2_python.git
 cd unitree_sdk2_python  && pip install -e .
 ```
 ### Step 2: Update Robot IP in Config
 Edit the config file to match your robot's WiFi IP:
 ```python
 # In src/lerobot/robots/unitree_g1/config_unitree_g1.py
 robot_ip: str = "<YOUR_ROBOT_IP>"  # Replace with your robot's WiFi IP.
 ```
 ### Step 3: Run the Locomotion Policy
 ```bash
 # Run GR00T locomotion controller
 python examples/unitree_g1/gr00t_locomotion.py --repo-id "nepyope/GR00T-WholeBodyControl_g1"
 # Run Holosoma locomotion controller
 python examples/unitree_g1/holosoma_locomotion.py
 ```
 Press `Ctrl+C` to stop the policy.
 ---
 ## Running in Simulation Mode (MuJoCo)
 You can test policies before deploying on the physical robot using MuJoCo simulation. Set `is_simulation=True` in config or pass `--robot.is_simulation=true` via CLI.
 ### Calibrate Exoskeleton Teleoperator
 ```bash
 lerobot-calibrate \
-    --teleop.type=unitree_g1 \
+  --teleop.type=unitree_g1 \
-    --teleop.left_arm_config.port=/dev/ttyACM1 \
+  --teleop.left_arm_config.port=/dev/ttyACM1 \
-    --teleop.right_arm_config.port=/dev/ttyACM0 \
+  --teleop.right_arm_config.port=/dev/ttyACM0 \
-    --teleop.id=exo
+  --teleop.id=exo
 ```
-### Teleoperate in Simulation
+During calibration move each joint through its entire range. After fitting, move the joint in a neutral position and press `n` to advance.
-```bash
+### Record a Dataset
 lerobot-teleoperate \
    --robot.type=unitree_g1 \
    --robot.is_simulation=true \
    --teleop.type=unitree_g1 \
    --teleop.left_arm_config.port=/dev/ttyACM1 \
    --teleop.right_arm_config.port=/dev/ttyACM0 \
    --teleop.id=exo \
    --fps=100
 ```
 ### Record Dataset in Simulation
 ```bash
 lerobot-record \
-    --robot.type=unitree_g1 \
+  --robot.type=unitree_g1 \
-    --robot.is_simulation=true \
+  --robot.is_simulation=true \
-    --robot.cameras='{"global_view": {"type": "zmq", "server_address": "localhost", "port": 5555, "camera_name": "head_camera", "width": 640, "height": 480, "fps": 30}}' \
+  --robot.cameras='{"global_view": {"type": "zmq", "server_address": "localhost", "port": 5555, "camera_name": "head_camera", "width": 640, "height": 480, "fps": 30}}' \
-    --teleop.type=unitree_g1 \
+  --teleop.type=unitree_g1 \
-    --teleop.left_arm_config.port=/dev/ttyACM1 \
+  --teleop.left_arm_config.port=/dev/ttyACM1 \
-    --teleop.right_arm_config.port=/dev/ttyACM0 \
+  --teleop.right_arm_config.port=/dev/ttyACM0 \
-    --teleop.id=exo \
+  --teleop.id=exo \
-    --dataset.repo_id=your-username/dataset-name \
+  --dataset.repo_id=your-username/dataset-name \
-    --dataset.single_task="Test" \
+  --dataset.single_task="Test" \
-    --dataset.num_episodes=2 \
+  --dataset.num_episodes=2 \
-    --dataset.episode_time_s=5 \
+  --dataset.episode_time_s=5 \
-    --dataset.reset_time_s=5 \
+  --dataset.reset_time_s=5 \
-    --dataset.push_to_hub=true \
+  --dataset.push_to_hub=true \
-    --dataset.streaming_encoding=true \
+  --dataset.streaming_encoding=true \
-    # --dataset.vcodec=auto \
+  --dataset.encoder_threads=2
    --dataset.encoder_threads=2
 ```
-Example simulation dataset: [nepyope/teleop_test_sim](https://huggingface.co/datasets/nepyope/teleop_test_sim)
+> **Note:** Omit `--teleop.left_arm_config.port` and `--teleop.right_arm_config.port` if you're only using the joystick.
 Example dataset: [nepyope/unitree_box_move_blue_full](https://huggingface.co/datasets/nepyope/unitree_box_move_blue_full)
 ---
-## Running on Real Robot
+## Part 5: Training & Inference
-Once the robot server is running on the G1 (see Part 3), you can teleoperate and record on the real robot.
+### Train
 ### Start the Camera Server
 On the robot, start the ZMQ image server:
 ```bash
-python src/lerobot/cameras/zmq/image_server.py
+python src/lerobot/scripts/lerobot_train.py \
  --dataset.repo_id=your-username/dataset-name  \
  --policy.type=pi05 \
  --output_dir=./outputs/pi05_training \
  --job_name=pi05_training \
  --policy.repo_id=your-username/your-repo-id \
  --policy.pretrained_path=lerobot/pi05_base \
  --policy.compile_model=true \
  --policy.gradient_checkpointing=true \
  --wandb.enable=true \
  --policy.dtype=bfloat16 \
  --policy.freeze_vision_encoder=false \
  --policy.train_expert_only=false \
  --steps=3000 \
  --policy.device=cuda \
  --batch_size=32
 ```
-Keep this running in a separate terminal for camera streaming during recording.
+### Inference with RTC
-### Teleoperate Real Robot
+Once trained, we recommend deploying policies using inference-time RTC:
 ```bash
-lerobot-teleoperate \
+python examples/rtc/eval_with_real_robot.py \
-    --robot.type=unitree_g1 \
+  --policy.path=your-username/your-repo-id \
-    --robot.is_simulation=false \
+  --policy.device=cuda \
-    --teleop.type=unitree_g1 \
+  --robot.type=unitree_g1 \
-    --teleop.left_arm_config.port=/dev/ttyACM1 \
+  --robot.is_simulation=false \
-    --teleop.right_arm_config.port=/dev/ttyACM0 \
+  --robot.controller=HolosomaLocomotionController \
-    --teleop.id=exo \
+  --robot.cameras='{"global_view": {"type": "zmq", "server_address": "<ROBOT_IP>", "port": 5555, "camera_name": "head_camera", "width": 640, "height": 480, "fps": 30}}' \
-    --fps=100
+  --task="task_description" \
  --duration=1000 \
  --fps=30 \
  --rtc.enabled=true
 ```
 ### Record Dataset on Real Robot
 ```bash
 lerobot-record \
    --robot.type=unitree_g1 \
    --robot.is_simulation=false \
    --robot.cameras='{"global_view": {"type": "zmq", "server_address": "172.18.129.215", "port": 5555, "camera_name": "head_camera", "width": 640, "height": 480, "fps": 30}}' \
    --teleop.type=unitree_g1 \
    --teleop.left_arm_config.port=/dev/ttyACM1 \
    --teleop.right_arm_config.port=/dev/ttyACM0 \
    --teleop.id=exo \
    --dataset.repo_id=your-username/dataset-name \
    --dataset.single_task="Test" \
    --dataset.num_episodes=2 \
    --dataset.episode_time_s=5 \
    --dataset.reset_time_s=5 \
    --dataset.push_to_hub=true \
    --dataset.streaming_encoding=true \
    # --dataset.vcodec=auto \
    --dataset.encoder_threads=2
 ```
 **Note**: Update `server_address` to match your robot's camera server IP.
 Example real robot dataset: [nepyope/teleop_test_real](https://huggingface.co/datasets/nepyope/teleop_test_real)
 ---
 ## Additional Resources
@@ -300,8 +254,8 @@ Example real robot dataset: [nepyope/teleop_test_real](https://huggingface.co/da
 - [GR00T-WholeBodyControl](https://github.com/NVlabs/GR00T-WholeBodyControl)
 - [Holosoma](https://github.com/amazon-far/holosoma)
 - [LeRobot Documentation](https://github.com/huggingface/lerobot)
- [Unitree_IL_Lerobot](https://github.com/unitreerobotics/unitree_IL_lerobot)
+- [Unitree IL LeRobot](https://github.com/unitreerobotics/unitree_IL_lerobot)
 ---
-_Last updated: December 2025_
+_Last updated: March 2026_
--- a/examples/rtc/eval_with_real_robot.py
+++ b/examples/rtc/eval_with_real_robot.py
@@ -78,6 +78,7 @@ from torch import Tensor
 from lerobot.cameras.opencv.configuration_opencv import OpenCVCameraConfig  # noqa: F401
 from lerobot.cameras.realsense.configuration_realsense import RealSenseCameraConfig  # noqa: F401
 from lerobot.cameras.zmq.configuration_zmq import ZMQCameraConfig  # noqa: F401
 from lerobot.configs import parser
 from lerobot.configs.policies import PreTrainedConfig
 from lerobot.configs.types import RTCAttentionSchedule
@@ -97,6 +98,7 @@ from lerobot.robots import (  # noqa: F401
    bi_so_follower,
    koch_follower,
    so_follower,
    unitree_g1,
 )
 from lerobot.robots.utils import make_robot_from_config
 from lerobot.utils.constants import OBS_IMAGES
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -25,7 +25,7 @@ discord = "https://discord.gg/s3KuuzsPFb"
 [project]
 name = "lerobot"
-version = "0.4.5"
+version = "0.5.0"
 description = "🤗 LeRobot: State-of-the-art Machine Learning for Real-World Robotics in Pytorch"
 dynamic = ["readme"]
 license = { text = "Apache-2.0" }
@@ -119,11 +119,13 @@ gamepad = ["lerobot[pygame-dep]", "hidapi>=0.14.0,<0.15.0"]
 hopejr = ["lerobot[feetech]", "lerobot[pygame-dep]"]
 lekiwi = ["lerobot[feetech]", "pyzmq>=26.2.1,<28.0.0"]
 unitree_g1 = [
    "unitree-sdk2==1.0.1",
    "pyzmq>=26.2.1,<28.0.0",
    "onnxruntime>=1.16.0,<2.0.0",
    "pin>=3.0.0,<4.0.0",
    "meshcat>=0.3.0,<0.4.0",
    "lerobot[matplotlib-dep]",
    "lerobot[pygame-dep]",
    "casadi>=3.6.0,<4.0.0",
 ]
 reachy2 = ["reachy2_sdk>=1.0.15,<1.1.0"]
@@ -206,6 +208,7 @@ all = [
    "lerobot[metaworld]",
    "lerobot[sarm]",
    "lerobot[peft]",
    # "lerobot[unitree_g1]", TODO: Unitree requires specific installation instructions for unitree_sdk2
 ]
 [project.scripts]
--- a/requirements-macos.txt
+++ b/requirements-macos.txt
@@ -1,76 +1,73 @@
 #
-# This file is autogenerated by pip-compile with Python 3.10
+# This file is autogenerated by pip-compile with Python 3.12
 # by the following command:
 #
 #    pip-compile --output-file=requirements-macos.txt requirements.in
 #
 -e .[all]
    # via -[all]
-absl-py==2.3.1
+absl-py==2.4.0
    # via
    #   dm-control
    #   dm-env
    #   dm-tree
    #   labmaze
    #   mujoco
-    #   tensorboard
+accelerate==1.13.0
 accelerate==1.11.0
    # via
    #   lerobot
    #   peft
 aiohappyeyeballs==2.6.1
    # via aiohttp
-aiohttp==3.13.1
+aiohttp==3.13.3
    # via fsspec
 aiosignal==1.4.0
    # via aiohttp
 annotated-doc==0.0.4
    # via
    #   fastapi
    #   typer
 annotated-types==0.7.0
    # via pydantic
-antlr4-python3-runtime==4.9.3
+anyio==4.12.1
    # via
    #   hydra-core
    #   omegaconf
 anyio==4.11.0
    # via
    #   httpx
    #   starlette
    #   watchfiles
-asttokens==3.0.0
+asttokens==3.0.1
    # via stack-data
 async-timeout==5.0.1
    # via aiohttp
 attrs==25.4.0
    # via
    #   aiohttp
    #   dm-tree
    #   jsonlines
    #   jsonschema
    #   referencing
    #   rerun-sdk
 av==15.1.0
    # via lerobot
 bddl==1.0.1
    # via libero
 certifi==2025.10.5
    # via
    #   lerobot
    #   qwen-vl-utils
 certifi==2026.2.25
    # via
    #   httpcore
    #   httpx
    #   requests
    #   sentry-sdk
 cffi==2.0.0
    # via pymunk
-cfgv==3.4.0
+cfgv==3.5.0
    # via pre-commit
-charset-normalizer==3.4.4
+charset-normalizer==3.4.5
    # via requests
-click==8.3.0
+click==8.3.1
    # via
    #   typer
    #   uvicorn
    #   wandb
-cloudpickle==3.1.1
+cloudpickle==3.1.2
-    # via
+    # via gymnasium
-    #   gymnasium
+cmake==4.1.3
    #   libero
 cmake==4.1.0
    # via lerobot
-cmeel==0.57.3
+cmeel==0.59.0
    # via
    #   cmeel-assimp
    #   cmeel-boost
@@ -108,15 +105,17 @@ cmeel-zlib==1.3.1
    # via cmeel-assimp
 coal-library==3.0.1
    # via pin
-contourpy==1.3.2
+contourpy==1.3.3
-    # via matplotlib
+    # via
-coverage[toml]==7.11.0
+    #   lerobot
    #   matplotlib
 coverage[toml]==7.13.4
    # via pytest-cov
 cycler==0.12.1
    # via matplotlib
-datasets==4.1.1
+datasets==4.6.1
    # via lerobot
-debugpy==1.8.17
+debugpy==1.8.20
    # via lerobot
 decorator==5.2.1
    # via ipython
@@ -130,7 +129,7 @@ dill==0.4.0
    #   multiprocess
 distlib==0.4.0
    # via virtualenv
-dm-control==1.0.34
+dm-control==1.0.37
    # via gym-aloha
 dm-env==1.6
    # via dm-control
@@ -138,69 +137,55 @@ dm-tree==0.1.9
    # via
    #   dm-control
    #   dm-env
    #   lerobot
 docopt==0.6.2
    # via num2words
 draccus==0.10.0
    # via lerobot
 dynamixel-sdk==3.8.4
    # via lerobot
 easydict==1.13
    # via libero
 egl-probe @ git+https://github.com/huggingface/egl_probe.git
    # via
    #   libero
    #   robomimic
 eigenpy==3.10.3
    # via coal-library
-einops==0.8.1
+einops==0.8.2
-    # via
+    # via lerobot
    #   lerobot
    #   libero
 eiquadprog==1.2.9
    # via placo
-etils[epath,epy]==1.13.0
+etils[epath,epy]==1.14.0
    # via mujoco
 exceptiongroup==1.3.0
    # via
    #   anyio
    #   ipython
    #   pytest
 executing==2.2.1
    # via stack-data
 faker==34.0.2
    # via lerobot
 farama-notifications==0.0.4
    # via gymnasium
-fastapi==0.119.1
+fastapi==0.135.1
-    # via teleop
+    # via
-fastjsonschema==2.21.2
+    #   lerobot
-    # via nbformat
+    #   teleop
 feetech-servo-sdk==1.0.0
    # via lerobot
-filelock==3.20.0
+filelock==3.25.0
    # via
    #   datasets
    #   diffusers
    #   huggingface-hub
    #   python-discovery
    #   torch
    #   transformers
    #   virtualenv
-fonttools==4.60.1
+fonttools==4.61.1
    # via matplotlib
 frozenlist==1.8.0
    # via
    #   aiohttp
    #   aiosignal
-fsspec[http]==2025.9.0
+fsspec[http]==2026.2.0
    # via
    #   datasets
    #   etils
    #   huggingface-hub
    #   torch
 future==1.0.0
    # via libero
 gitdb==4.0.12
    # via gitpython
-gitpython==3.1.45
+gitpython==3.1.46
    # via wandb
 glfw==2.10.0
    # via
@@ -212,7 +197,6 @@ grpcio==1.73.1
    #   lerobot
    #   reachy2-sdk
    #   reachy2-sdk-api
    #   tensorboard
 grpcio-tools==1.73.1
    # via
    #   lerobot
@@ -223,71 +207,67 @@ gym-hil==0.1.13
    # via lerobot
 gym-pusht==0.1.6
    # via lerobot
-gymnasium==1.2.1
+gymnasium==1.2.3
    # via
    #   gym-aloha
    #   gym-hil
    #   gym-pusht
    #   lerobot
    #   libero
    #   metaworld
 h11==0.16.0
-    # via uvicorn
+    # via
-h5py==3.15.1
+    #   httpcore
-    # via robomimic
+    #   uvicorn
 hebi-py==2.11.0
    # via lerobot
-hf-transfer==0.1.9
+hf-xet==1.3.2
    # via huggingface-hub
 hf-xet==1.1.10
    # via huggingface-hub
 hidapi==0.14.0.post4
    # via
    #   gym-hil
    #   lerobot
 httpcore==1.0.9
    # via httpx
 httptools==0.7.1
    # via uvicorn
-huggingface-hub[cli,hf-transfer]==0.35.3
+httpx==0.28.1
    # via
    #   datasets
    #   huggingface-hub
 huggingface-hub==1.6.0
    # via
    #   accelerate
    #   datasets
    #   diffusers
    #   lerobot
    #   peft
    #   timm
    #   tokenizers
    #   transformers
-hydra-core==1.3.2
+identify==2.6.17
    # via libero
 identify==2.6.15
    # via pre-commit
 idna==3.11
    # via
    #   anyio
    #   httpx
    #   requests
    #   yarl
-imageio[ffmpeg]==2.37.0
+imageio[ffmpeg]==2.37.2
    # via
    #   gym-aloha
    #   gym-hil
    #   lerobot
    #   metaworld
    #   robomimic
    #   scikit-image
 imageio-ffmpeg==0.6.0
-    # via
+    # via imageio
-    #   imageio
+importlib-metadata==8.7.1
    #   robomimic
 importlib-metadata==8.7.0
    # via diffusers
 importlib-resources==6.5.2
    # via etils
 iniconfig==2.3.0
    # via pytest
-inquirerpy==0.3.4
+ipython==9.11.0
    # via huggingface-hub
 ipython==8.37.0
    # via meshcat
 ipython-pygments-lexers==1.1.1
    # via ipython
 ischedule==1.2.7
    # via placo
 jedi==0.19.2
@@ -296,44 +276,24 @@ jinja2==3.1.6
    # via torch
 jsonlines==4.0.0
    # via lerobot
 jsonschema==4.25.1
    # via nbformat
 jsonschema-specifications==2025.9.1
    # via jsonschema
 jupyter-core==5.9.1
    # via nbformat
 jupytext==1.18.1
    # via bddl
 kiwisolver==1.4.9
    # via matplotlib
 labmaze==1.0.6
    # via dm-control
-lazy-loader==0.4
+lazy-loader==0.5
    # via scikit-image
-libero @ git+https://github.com/huggingface/lerobot-libero.git@main
+librt==0.8.1
-    # via lerobot
+    # via mypy
 llvmlite==0.45.1
    # via numba
 lxml==6.0.2
    # via dm-control
 markdown==3.9
    # via tensorboard
 markdown-it-py==4.0.0
-    # via
+    # via rich
    #   jupytext
    #   mdit-py-plugins
 markupsafe==3.0.3
-    # via
+    # via jinja2
-    #   jinja2
+matplotlib==3.10.8
-    #   werkzeug
+    # via lerobot
 matplotlib==3.10.7
    # via
    #   lerobot
    #   libero
 matplotlib-inline==0.2.1
    # via ipython
 mdit-py-plugins==0.5.0
    # via jupytext
 mdurl==0.1.2
    # via markdown-it-py
 mergedeep==1.3.4
@@ -346,41 +306,35 @@ mock-serial==0.0.1
    # via lerobot
 mpmath==1.3.0
    # via sympy
-mujoco==3.3.7
+mujoco==3.5.0
    # via
    #   dm-control
    #   gym-aloha
    #   gym-hil
    #   libero
    #   metaworld
-    #   robosuite
+multidict==6.7.1
 multidict==6.7.0
    # via
    #   aiohttp
    #   yarl
-multiprocess==0.70.16
+multiprocess==0.70.18
    # via datasets
 mypy==1.19.1
    # via lerobot
 mypy-extensions==1.1.0
    # via typing-inspect
 nbformat==5.10.4
    # via jupytext
 networkx==3.4.2
    # via
-    #   bddl
+    #   mypy
    #   typing-inspect
 networkx==3.6.1
    # via
    #   scikit-image
    #   torch
-ninja==1.13.0
+nodeenv==1.10.0
    # via lerobot
 nodeenv==1.9.1
    # via pre-commit
 num2words==0.5.14
    # via lerobot
 numba==0.62.1
    # via robosuite
 numpy==2.2.6
    # via
    #   accelerate
    #   bddl
    #   cmeel-boost
    #   contourpy
    #   datasets
@@ -389,16 +343,14 @@ numpy==2.2.6
    #   dm-env
    #   dm-tree
    #   gymnasium
    #   h5py
    #   hebi-py
    #   imageio
    #   labmaze
-    #   libero
+    #   lerobot
    #   matplotlib
    #   meshcat
    #   metaworld
    #   mujoco
    #   numba
    #   opencv-python
    #   opencv-python-headless
    #   pandas
@@ -406,26 +358,18 @@ numpy==2.2.6
    #   pyquaternion
    #   reachy2-sdk
    #   rerun-sdk
    #   robomimic
    #   robosuite
    #   scikit-image
    #   scipy
    #   shapely
    #   teleop
    #   tensorboard
    #   tensorboardx
    #   tifffile
    #   torchvision
    #   transformers
    #   transforms3d
-omegaconf==2.3.0
+opencv-python==4.13.0.92
    # via hydra-core
 opencv-python==4.12.0.88
    # via
    #   gym-pusht
    #   libero
    #   reachy2-sdk
    #   robosuite
 opencv-python-headless==4.12.0.88
    # via lerobot
 orderly-set==5.5.0
@@ -435,97 +379,87 @@ packaging==25.0
    #   accelerate
    #   datasets
    #   huggingface-hub
    #   hydra-core
    #   jupytext
    #   lazy-loader
    #   lerobot
    #   matplotlib
    #   peft
    #   pytest
    #   qwen-vl-utils
    #   reachy2-sdk
    #   scikit-image
    #   tensorboard
    #   tensorboardx
    #   transformers
    #   wandb
 pandas==2.3.3
    # via
    #   datasets
    #   lerobot
-parso==0.8.5
+parso==0.8.6
    # via jedi
-peft==0.17.1
+pathspec==1.0.4
    # via mypy
 peft==0.18.1
    # via lerobot
 pexpect==4.9.0
    # via ipython
-pfzy==0.3.4
+pillow==12.1.1
    # via inquirerpy
 pillow==12.0.0
    # via
    #   diffusers
    #   imageio
    #   lerobot
    #   matplotlib
    #   meshcat
    #   qwen-vl-utils
    #   rerun-sdk
    #   robosuite
    #   scikit-image
    #   tensorboard
    #   torchvision
 pin==3.4.0
    # via placo
-placo==0.9.14
+placo==0.9.16
    # via lerobot
-platformdirs==4.5.0
+platformdirs==4.9.4
    # via
-    #   jupyter-core
+    #   python-discovery
    #   virtualenv
    #   wandb
 pluggy==1.6.0
    # via
    #   pytest
    #   pytest-cov
-pre-commit==4.3.0
+pre-commit==4.5.1
    # via lerobot
 prompt-toolkit==3.0.52
-    # via
+    # via ipython
    #   inquirerpy
    #   ipython
 propcache==0.4.1
    # via
    #   aiohttp
    #   yarl
-protobuf==6.31.0
+protobuf==6.31.1
    # via
    #   dm-control
    #   grpcio-tools
    #   lerobot
    #   reachy2-sdk
    #   reachy2-sdk-api
    #   tensorboard
    #   tensorboardx
    #   wandb
-psutil==7.1.1
+psutil==7.2.2
    # via
    #   accelerate
    #   imageio
    #   peft
    #   robomimic
 ptyprocess==0.7.0
    # via pexpect
 pure-eval==0.2.3
    # via stack-data
-pyarrow==21.0.0
+pyarrow==23.0.1
    # via
    #   datasets
    #   rerun-sdk
-pycparser==2.23
+pycparser==3.0
    # via cffi
-pydantic==2.12.3
+pydantic==2.12.5
    # via
    #   fastapi
    #   wandb
-pydantic-core==2.41.4
+pydantic-core==2.41.5
    # via pydantic
 pygame==2.6.1
    # via
@@ -535,33 +469,35 @@ pygame==2.6.1
 pygments==2.19.2
    # via
    #   ipython
    #   ipython-pygments-lexers
    #   pytest
    #   rich
 pymunk==6.11.1
    # via
    #   gym-pusht
    #   lerobot
-pyngrok==7.4.1
+pyngrok==7.5.1
    # via meshcat
 pynput==1.8.1
    # via
    #   gym-hil
    #   lerobot
-pyobjc-core==12.0
+pyobjc-core==12.1
    # via
    #   pyobjc-framework-applicationservices
    #   pyobjc-framework-cocoa
    #   pyobjc-framework-coretext
    #   pyobjc-framework-quartz
-pyobjc-framework-applicationservices==12.0
+pyobjc-framework-applicationservices==12.1
    # via pynput
-pyobjc-framework-cocoa==12.0
+pyobjc-framework-cocoa==12.1
    # via
    #   pyobjc-framework-applicationservices
    #   pyobjc-framework-coretext
    #   pyobjc-framework-quartz
-pyobjc-framework-coretext==12.0
+pyobjc-framework-coretext==12.1
    # via pyobjc-framework-applicationservices
-pyobjc-framework-quartz==12.0
+pyobjc-framework-quartz==12.1
    # via
    #   pynput
    #   pyobjc-framework-applicationservices
@@ -570,13 +506,13 @@ pyopengl==3.1.10
    # via
    #   dm-control
    #   mujoco
-pyparsing==3.2.5
+pyparsing==3.3.2
    # via
    #   dm-control
    #   matplotlib
 pyquaternion==0.9.9
    # via reachy2-sdk
-pyrealsense2-macosx==2.54.2
+pyrealsense2-macosx==2.56.5
    # via lerobot
 pyserial==3.5
    # via
@@ -585,7 +521,6 @@ pyserial==3.5
    #   lerobot
 pytest==8.4.2
    # via
    #   bddl
    #   lerobot
    #   pytest-cov
    #   pytest-timeout
@@ -596,11 +531,14 @@ pytest-timeout==2.4.0
    # via lerobot
 python-dateutil==2.9.0.post0
    # via
    #   faker
    #   matplotlib
    #   pandas
-python-dotenv==1.1.1
+python-discovery==1.1.1
    # via virtualenv
 python-dotenv==1.2.2
    # via uvicorn
-pytz==2025.2
+pytz==2026.1.post1
    # via pandas
 pyyaml==6.0.3
    # via
@@ -609,13 +547,10 @@ pyyaml==6.0.3
    #   draccus
    #   hebi-py
    #   huggingface-hub
    #   jupytext
    #   omegaconf
    #   peft
    #   pre-commit
    #   pyngrok
    #   pyyaml-include
    #   timm
    #   transformers
    #   uvicorn
    #   wandb
@@ -625,15 +560,13 @@ pyzmq==27.1.0
    # via
    #   lerobot
    #   meshcat
-reachy2-sdk==1.0.14
+qwen-vl-utils==0.0.14
    # via lerobot
 reachy2-sdk==1.0.15
    # via lerobot
 reachy2-sdk-api==1.0.21
    # via reachy2-sdk
-referencing==0.37.0
+regex==2026.2.28
    # via
    #   jsonschema
    #   jsonschema-specifications
 regex==2025.10.23
    # via
    #   diffusers
    #   transformers
@@ -642,184 +575,150 @@ requests==2.32.5
    #   datasets
    #   diffusers
    #   dm-control
-    #   huggingface-hub
+    #   qwen-vl-utils
    #   teleop
    #   transformers
    #   wandb
-rerun-sdk==0.26.1
+rerun-sdk==0.26.2
    # via lerobot
 rhoban-cmeel-jsoncpp==1.9.4.9
    # via placo
-robomimic==0.2.0
+rich==14.3.3
-    # via libero
+    # via typer
-robosuite==1.4.0
+safetensors==0.7.0
    # via libero
 rpds-py==0.28.0
    # via
    #   jsonschema
    #   referencing
 safetensors==0.6.2
    # via
    #   accelerate
    #   diffusers
    #   lerobot
    #   peft
    #   timm
    #   transformers
 scikit-image==0.25.2
    # via
    #   gym-pusht
    #   lerobot
-scipy==1.15.3
+scipy==1.17.1
    # via
    #   dm-control
    #   lerobot
    #   metaworld
    #   robosuite
    #   scikit-image
-sentry-sdk==2.42.1
+    #   torchdiffeq
 sentry-sdk==2.54.0
    # via wandb
 shapely==2.1.2
    # via gym-pusht
 shellingham==1.5.4
    # via typer
 six==1.17.0
    # via
    #   pynput
    #   python-dateutil
-smmap==5.0.2
+smmap==5.0.3
    # via gitdb
 sniffio==1.3.1
    # via anyio
 stack-data==0.6.3
    # via ipython
-starlette==0.48.0
+starlette==0.52.1
    # via fastapi
 sympy==1.14.0
    # via torch
-teleop==0.1.2
+teleop==0.1.4
    # via lerobot
-tensorboard==2.20.0
+termcolor==3.3.0
-    # via robomimic
+    # via lerobot
-tensorboard-data-server==0.7.2
+tifffile==2026.3.3
    # via tensorboard
 tensorboardx==2.6.4
    # via robomimic
 termcolor==3.1.0
    # via
    #   lerobot
    #   robomimic
 thop==0.1.1.post2209072238
    # via libero
 tifffile==2025.5.10
    # via scikit-image
-timm==1.0.20
+tokenizers==0.22.2
    # via lerobot
 tokenizers==0.22.1
    # via transformers
 toml==0.10.2
    # via draccus
-tomli==2.3.0
+torch==2.10.0
    # via
    #   cmeel
    #   coverage
    #   jupytext
    #   pytest
 torch==2.7.1
    # via
    #   accelerate
    #   lerobot
    #   peft
-    #   robomimic
+    #   torchdiffeq
    #   thop
    #   timm
    #   torchvision
-torchcodec==0.5
+torchcodec==0.10.0
    # via lerobot
-torchvision==0.22.1
+torchdiffeq==0.2.5
-    # via
+    # via lerobot
-    #   lerobot
+torchvision==0.25.0
-    #   robomimic
+    # via lerobot
-    #   timm
+tornado==6.5.4
 tornado==6.5.2
    # via meshcat
-tqdm==4.67.1
+tqdm==4.67.3
    # via
    #   datasets
    #   dm-control
    #   huggingface-hub
    #   peft
    #   robomimic
    #   transformers
 traitlets==5.14.3
    # via
    #   ipython
    #   jupyter-core
    #   matplotlib-inline
-    #   nbformat
+transformers==5.3.0
 transformers==4.57.1
    # via
    #   lerobot
    #   libero
    #   peft
 transforms3d==0.4.2
    # via teleop
 typer==0.24.1
    # via
    #   huggingface-hub
    #   transformers
 typing-extensions==4.15.0
    # via
    #   aiosignal
    #   anyio
    #   etils
-    #   exceptiongroup
+    #   faker
    #   fastapi
    #   gymnasium
    #   huggingface-hub
-    #   ipython
+    #   mypy
    #   multidict
    #   pydantic
    #   pydantic-core
    #   referencing
    #   rerun-sdk
    #   starlette
    #   torch
    #   typing-inspect
    #   typing-inspection
    #   uvicorn
    #   virtualenv
    #   wandb
 typing-inspect==0.9.0
    # via draccus
 typing-inspection==0.4.2
-    # via pydantic
+    # via
-tzdata==2025.2
+    #   fastapi
    #   pydantic
 tzdata==2025.3
    # via pandas
 u-msgpack-python==2.8.0
    # via meshcat
-urllib3==2.5.0
+urllib3==2.6.3
    # via
    #   requests
    #   sentry-sdk
-uvicorn[standard]==0.38.0
+uvicorn[standard]==0.41.0
    # via teleop
 uvloop==0.22.1
    # via uvicorn
-virtualenv==20.35.3
+virtualenv==21.1.0
    # via pre-commit
-wandb==0.21.4
+wandb==0.24.2
-    # via
+    # via lerobot
    #   lerobot
    #   libero
 watchfiles==1.1.1
    # via uvicorn
-wcwidth==0.2.14
+wcwidth==0.6.0
    # via prompt-toolkit
 websocket-client==1.9.0
    # via teleop
-websockets==15.0.1
+websockets==16.0
    # via uvicorn
-werkzeug==3.1.3
+wrapt==2.1.2
    # via tensorboard
 wrapt==2.0.0
    # via dm-tree
 xxhash==3.6.0
    # via datasets
-yarl==1.22.0
+yarl==1.23.0
    # via aiohttp
 zipp==3.23.0
    # via
--- a/requirements-ubuntu.txt
+++ b/requirements-ubuntu.txt
@@ -1,12 +1,12 @@
 #
-# This file is autogenerated by pip-compile with Python 3.10
+# This file is autogenerated by pip-compile with Python 3.12
 # by the following command:
 #
 #    pip-compile --output-file=requirements-ubuntu.txt requirements.in
 #
 -e .[all]
    # via -[all]
-absl-py==2.3.1
+absl-py==2.4.0
    # via
    #   dm-control
    #   dm-env
@@ -14,30 +14,33 @@ absl-py==2.3.1
    #   labmaze
    #   mujoco
    #   tensorboard
-accelerate==1.11.0
+accelerate==1.13.0
    # via
    #   lerobot
    #   peft
 aiohappyeyeballs==2.6.1
    # via aiohttp
-aiohttp==3.13.1
+aiohttp==3.13.3
    # via fsspec
 aiosignal==1.4.0
    # via aiohttp
 annotated-doc==0.0.4
    # via
    #   fastapi
    #   typer
 annotated-types==0.7.0
    # via pydantic
 antlr4-python3-runtime==4.9.3
    # via
    #   hydra-core
    #   omegaconf
-anyio==4.11.0
+anyio==4.12.1
    # via
    #   httpx
    #   starlette
    #   watchfiles
-asttokens==3.0.0
+asttokens==3.0.1
    # via stack-data
 async-timeout==5.0.1
    # via aiohttp
 attrs==25.4.0
    # via
    #   aiohttp
@@ -47,30 +50,35 @@ attrs==25.4.0
    #   referencing
    #   rerun-sdk
 av==15.1.0
    # via lerobot
 bddl==1.0.1
    # via libero
 certifi==2025.10.5
    # via
    #   lerobot
    #   qwen-vl-utils
 bddl==1.0.1
    # via hf-libero
 certifi==2026.2.25
    # via
    #   httpcore
    #   httpx
    #   requests
    #   sentry-sdk
 cffi==2.0.0
    # via pymunk
-cfgv==3.4.0
+cfgv==3.5.0
    # via pre-commit
-charset-normalizer==3.4.4
+charset-normalizer==3.4.5
    # via requests
-click==8.3.0
+click==8.3.1
    # via
    #   typer
    #   uvicorn
    #   wandb
-cloudpickle==3.1.1
+cloudpickle==3.1.2
    # via
    #   gymnasium
-    #   libero
+    #   hf-libero
-cmake==4.1.0
+cmake==4.1.3
    # via lerobot
-cmeel==0.57.3
+cmeel==0.59.0
    # via
    #   cmeel-assimp
    #   cmeel-boost
@@ -108,20 +116,24 @@ cmeel-zlib==1.3.1
    # via cmeel-assimp
 coal-library==3.0.1
    # via pin
-contourpy==1.3.2
+contourpy==1.3.3
-    # via matplotlib
+    # via
-coverage[toml]==7.11.0
+    #   lerobot
    #   matplotlib
 coverage[toml]==7.13.4
    # via pytest-cov
 cuda-bindings==12.9.4
    # via torch
 cuda-pathfinder==1.4.1
    # via cuda-bindings
 cycler==0.12.1
    # via matplotlib
-datasets==4.1.1
+datasets==4.6.1
    # via lerobot
-debugpy==1.8.17
+debugpy==1.8.20
    # via lerobot
 decorator==5.2.1
    # via ipython
 decord==0.6.0
    # via lerobot
 deepdiff==8.6.1
    # via lerobot
 diffusers==0.35.2
@@ -132,7 +144,7 @@ dill==0.4.0
    #   multiprocess
 distlib==0.4.0
    # via virtualenv
-dm-control==1.0.34
+dm-control==1.0.37
    # via gym-aloha
 dm-env==1.6
    # via dm-control
@@ -140,7 +152,6 @@ dm-tree==0.1.9
    # via
    #   dm-control
    #   dm-env
    #   lerobot
 docopt==0.6.2
    # via num2words
 draccus==0.10.0
@@ -148,66 +159,60 @@ draccus==0.10.0
 dynamixel-sdk==3.8.4
    # via lerobot
 easydict==1.13
-    # via libero
+    # via hf-libero
-egl-probe @ git+https://github.com/huggingface/egl_probe.git
+egl-probe==1.0.2
-    # via
+    # via robomimic
    #   libero
    #   robomimic
 eigenpy==3.10.3
    # via coal-library
-einops==0.8.1
+einops==0.8.2
    # via
-    #   flash-attn
+    #   hf-libero
    #   lerobot
    #   libero
 eiquadprog==1.2.9
    # via placo
-etils[epath,epy]==1.13.0
+etils[epath,epy]==1.14.0
    # via mujoco
-evdev==1.9.2
+evdev==1.9.3
    # via pynput
 exceptiongroup==1.3.0
    # via
    #   anyio
    #   ipython
    #   pytest
 executing==2.2.1
    # via stack-data
 faker==34.0.2
    # via lerobot
 farama-notifications==0.0.4
    # via gymnasium
-fastapi==0.119.1
+fastapi==0.135.1
-    # via teleop
+    # via
    #   lerobot
    #   teleop
 fastjsonschema==2.21.2
    # via nbformat
 feetech-servo-sdk==1.0.0
    # via lerobot
-filelock==3.20.0
+filelock==3.25.0
    # via
    #   datasets
    #   diffusers
    #   huggingface-hub
    #   python-discovery
    #   torch
    #   transformers
    #   virtualenv
-flash-attn==2.8.3
+fonttools==4.61.1
    # via lerobot
 fonttools==4.60.1
    # via matplotlib
 frozenlist==1.8.0
    # via
    #   aiohttp
    #   aiosignal
-fsspec[http]==2025.9.0
+fsspec[http]==2026.2.0
    # via
    #   datasets
    #   etils
    #   huggingface-hub
    #   torch
 future==1.0.0
-    # via libero
+    # via hf-libero
 gitdb==4.0.12
    # via gitpython
-gitpython==3.1.45
+gitpython==3.1.46
    # via wandb
 glfw==2.10.0
    # via
@@ -230,50 +235,60 @@ gym-hil==0.1.13
    # via lerobot
 gym-pusht==0.1.6
    # via lerobot
-gymnasium==1.2.1
+gymnasium==1.2.3
    # via
    #   gym-aloha
    #   gym-hil
    #   gym-pusht
    #   hf-libero
    #   lerobot
    #   libero
    #   metaworld
 h11==0.16.0
-    # via uvicorn
+    # via
-h5py==3.15.1
+    #   httpcore
    #   uvicorn
 h5py==3.16.0
    # via robomimic
 hebi-py==2.11.0
    # via lerobot
-hf-transfer==0.1.9
+hf-egl-probe==1.0.2
-    # via huggingface-hub
+    # via hf-libero
-hf-xet==1.1.10
+hf-libero==0.1.3
    # via lerobot
 hf-xet==1.3.2
    # via huggingface-hub
 hidapi==0.14.0.post4
    # via
    #   gym-hil
    #   lerobot
 httpcore==1.0.9
    # via httpx
 httptools==0.7.1
    # via uvicorn
-huggingface-hub[cli,hf-transfer]==0.35.3
+httpx==0.28.1
    # via
    #   datasets
    #   huggingface-hub
 huggingface-hub==1.6.0
    # via
    #   accelerate
    #   datasets
    #   diffusers
    #   lerobot
    #   peft
    #   timm
    #   tokenizers
    #   transformers
 hydra-core==1.3.2
-    # via libero
+    # via hf-libero
-identify==2.6.15
+identify==2.6.17
    # via pre-commit
 idna==3.11
    # via
    #   anyio
    #   httpx
    #   requests
    #   yarl
-imageio[ffmpeg]==2.37.0
+imageio[ffmpeg]==2.37.2
    # via
    #   gym-aloha
    #   gym-hil
@@ -285,16 +300,14 @@ imageio-ffmpeg==0.6.0
    # via
    #   imageio
    #   robomimic
-importlib-metadata==8.7.0
+importlib-metadata==8.7.1
    # via diffusers
 importlib-resources==6.5.2
    # via etils
 iniconfig==2.3.0
    # via pytest
-inquirerpy==0.3.4
+ipython==9.11.0
    # via huggingface-hub
 ipython==8.37.0
    # via meshcat
 ipython-pygments-lexers==1.1.1
    # via ipython
 ischedule==1.2.7
    # via placo
 jedi==0.19.2
@@ -303,40 +316,41 @@ jinja2==3.1.6
    # via torch
 jsonlines==4.0.0
    # via lerobot
-jsonschema==4.25.1
+jsonschema==4.26.0
    # via nbformat
 jsonschema-specifications==2025.9.1
    # via jsonschema
 jupyter-core==5.9.1
    # via nbformat
-jupytext==1.18.1
+jupytext==1.19.1
    # via bddl
 kiwisolver==1.4.9
    # via matplotlib
 labmaze==1.0.6
    # via dm-control
-lazy-loader==0.4
+lazy-loader==0.5
    # via scikit-image
-libero @ git+https://github.com/huggingface/lerobot-libero.git@main
+librt==0.8.1
-    # via lerobot
+    # via mypy
-llvmlite==0.45.1
+llvmlite==0.46.0
    # via numba
 lxml==6.0.2
    # via dm-control
-markdown==3.9
+markdown==3.10.2
    # via tensorboard
 markdown-it-py==4.0.0
    # via
    #   jupytext
    #   mdit-py-plugins
    #   rich
 markupsafe==3.0.3
    # via
    #   jinja2
    #   werkzeug
-matplotlib==3.10.7
+matplotlib==3.10.8
    # via
    #   hf-libero
    #   lerobot
    #   libero
 matplotlib-inline==0.2.1
    # via ipython
 mdit-py-plugins==0.5.0
@@ -353,36 +367,38 @@ mock-serial==0.0.1
    # via lerobot
 mpmath==1.3.0
    # via sympy
-mujoco==3.3.7
+mujoco==3.5.0
    # via
    #   dm-control
    #   gym-aloha
    #   gym-hil
-    #   libero
+    #   hf-libero
    #   metaworld
    #   robosuite
-multidict==6.7.0
+multidict==6.7.1
    # via
    #   aiohttp
    #   yarl
-multiprocess==0.70.16
+multiprocess==0.70.18
    # via datasets
 mypy==1.19.1
    # via lerobot
 mypy-extensions==1.1.0
-    # via typing-inspect
+    # via
    #   mypy
    #   typing-inspect
 nbformat==5.10.4
    # via jupytext
-networkx==3.4.2
+networkx==3.6.1
    # via
    #   bddl
    #   scikit-image
    #   torch
-ninja==1.13.0
+nodeenv==1.10.0
    # via lerobot
 nodeenv==1.9.1
    # via pre-commit
 num2words==0.5.14
    # via lerobot
-numba==0.62.1
+numba==0.64.0
    # via robosuite
 numpy==2.2.6
    # via
@@ -391,7 +407,6 @@ numpy==2.2.6
    #   cmeel-boost
    #   contourpy
    #   datasets
    #   decord
    #   diffusers
    #   dm-control
    #   dm-env
@@ -399,9 +414,10 @@ numpy==2.2.6
    #   gymnasium
    #   h5py
    #   hebi-py
    #   hf-libero
    #   imageio
    #   labmaze
-    #   libero
+    #   lerobot
    #   matplotlib
    #   meshcat
    #   metaworld
@@ -426,49 +442,51 @@ numpy==2.2.6
    #   torchvision
    #   transformers
    #   transforms3d
-nvidia-cublas-cu12==12.6.4.1
+nvidia-cublas-cu12==12.8.4.1
    # via
    #   nvidia-cudnn-cu12
    #   nvidia-cusolver-cu12
    #   torch
-nvidia-cuda-cupti-cu12==12.6.80
+nvidia-cuda-cupti-cu12==12.8.90
    # via torch
-nvidia-cuda-nvrtc-cu12==12.6.77
+nvidia-cuda-nvrtc-cu12==12.8.93
    # via torch
-nvidia-cuda-runtime-cu12==12.6.77
+nvidia-cuda-runtime-cu12==12.8.90
    # via torch
-nvidia-cudnn-cu12==9.5.1.17
+nvidia-cudnn-cu12==9.10.2.21
    # via torch
-nvidia-cufft-cu12==11.3.0.4
+nvidia-cufft-cu12==11.3.3.83
    # via torch
-nvidia-cufile-cu12==1.11.1.6
+nvidia-cufile-cu12==1.13.1.3
    # via torch
-nvidia-curand-cu12==10.3.7.77
+nvidia-curand-cu12==10.3.9.90
    # via torch
-nvidia-cusolver-cu12==11.7.1.2
+nvidia-cusolver-cu12==11.7.3.90
    # via torch
-nvidia-cusparse-cu12==12.5.4.2
+nvidia-cusparse-cu12==12.5.8.93
    # via
    #   nvidia-cusolver-cu12
    #   torch
-nvidia-cusparselt-cu12==0.6.3
+nvidia-cusparselt-cu12==0.7.1
    # via torch
-nvidia-nccl-cu12==2.26.2
+nvidia-nccl-cu12==2.27.5
    # via torch
-nvidia-nvjitlink-cu12==12.6.85
+nvidia-nvjitlink-cu12==12.8.93
    # via
    #   nvidia-cufft-cu12
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
    #   torch
-nvidia-nvtx-cu12==12.6.77
+nvidia-nvshmem-cu12==3.4.5
    # via torch
 nvidia-nvtx-cu12==12.8.90
    # via torch
 omegaconf==2.3.0
    # via hydra-core
-opencv-python==4.12.0.88
+opencv-python==4.13.0.92
    # via
    #   gym-pusht
-    #   libero
+    #   hf-libero
    #   reachy2-sdk
    #   robosuite
 opencv-python-headless==4.12.0.88
@@ -487,6 +505,7 @@ packaging==25.0
    #   matplotlib
    #   peft
    #   pytest
    #   qwen-vl-utils
    #   reachy2-sdk
    #   scikit-image
    #   tensorboard
@@ -497,21 +516,21 @@ pandas==2.3.3
    # via
    #   datasets
    #   lerobot
-parso==0.8.5
+parso==0.8.6
    # via jedi
-peft==0.17.1
+pathspec==1.0.4
    # via mypy
 peft==0.18.1
    # via lerobot
 pexpect==4.9.0
    # via ipython
-pfzy==0.3.4
+pillow==12.1.1
    # via inquirerpy
 pillow==12.0.0
    # via
    #   diffusers
    #   imageio
    #   lerobot
    #   matplotlib
    #   meshcat
    #   qwen-vl-utils
    #   rerun-sdk
    #   robosuite
    #   scikit-image
@@ -519,28 +538,27 @@ pillow==12.0.0
    #   torchvision
 pin==3.4.0
    # via placo
-placo==0.9.14
+placo==0.9.16
    # via lerobot
-platformdirs==4.5.0
+platformdirs==4.9.4
    # via
    #   jupyter-core
    #   python-discovery
    #   virtualenv
    #   wandb
 pluggy==1.6.0
    # via
    #   pytest
    #   pytest-cov
-pre-commit==4.3.0
+pre-commit==4.5.1
    # via lerobot
 prompt-toolkit==3.0.52
-    # via
+    # via ipython
    #   inquirerpy
    #   ipython
 propcache==0.4.1
    # via
    #   aiohttp
    #   yarl
-protobuf==6.31.0
+protobuf==6.31.1
    # via
    #   dm-control
    #   grpcio-tools
@@ -550,7 +568,7 @@ protobuf==6.31.0
    #   tensorboard
    #   tensorboardx
    #   wandb
-psutil==7.1.1
+psutil==7.2.2
    # via
    #   accelerate
    #   imageio
@@ -560,17 +578,17 @@ ptyprocess==0.7.0
    # via pexpect
 pure-eval==0.2.3
    # via stack-data
-pyarrow==21.0.0
+pyarrow==23.0.1
    # via
    #   datasets
    #   rerun-sdk
-pycparser==2.23
+pycparser==3.0
    # via cffi
-pydantic==2.12.3
+pydantic==2.12.5
    # via
    #   fastapi
    #   wandb
-pydantic-core==2.41.4
+pydantic-core==2.41.5
    # via pydantic
 pygame==2.6.1
    # via
@@ -580,12 +598,14 @@ pygame==2.6.1
 pygments==2.19.2
    # via
    #   ipython
    #   ipython-pygments-lexers
    #   pytest
    #   rich
 pymunk==6.11.1
    # via
    #   gym-pusht
    #   lerobot
-pyngrok==7.4.1
+pyngrok==7.5.1
    # via meshcat
 pynput==1.8.1
    # via
@@ -595,7 +615,7 @@ pyopengl==3.1.10
    # via
    #   dm-control
    #   mujoco
-pyparsing==3.2.5
+pyparsing==3.3.2
    # via
    #   dm-control
    #   matplotlib
@@ -621,13 +641,16 @@ pytest-timeout==2.4.0
    # via lerobot
 python-dateutil==2.9.0.post0
    # via
    #   faker
    #   matplotlib
    #   pandas
-python-dotenv==1.1.1
+python-discovery==1.1.1
    # via virtualenv
 python-dotenv==1.2.2
    # via uvicorn
 python-xlib==0.33
    # via pynput
-pytz==2025.2
+pytz==2026.1.post1
    # via pandas
 pyyaml==6.0.3
    # via
@@ -642,7 +665,6 @@ pyyaml==6.0.3
    #   pre-commit
    #   pyngrok
    #   pyyaml-include
    #   timm
    #   transformers
    #   uvicorn
    #   wandb
@@ -652,7 +674,9 @@ pyzmq==27.1.0
    # via
    #   lerobot
    #   meshcat
-reachy2-sdk==1.0.14
+qwen-vl-utils==0.0.14
    # via lerobot
 reachy2-sdk==1.0.15
    # via lerobot
 reachy2-sdk-api==1.0.21
    # via reachy2-sdk
@@ -660,7 +684,7 @@ referencing==0.37.0
    # via
    #   jsonschema
    #   jsonschema-specifications
-regex==2025.10.23
+regex==2026.2.28
    # via
    #   diffusers
    #   transformers
@@ -669,60 +693,62 @@ requests==2.32.5
    #   datasets
    #   diffusers
    #   dm-control
-    #   huggingface-hub
+    #   qwen-vl-utils
    #   teleop
    #   transformers
    #   wandb
-rerun-sdk==0.26.1
+rerun-sdk==0.26.2
    # via lerobot
 rhoban-cmeel-jsoncpp==1.9.4.9
    # via placo
 rich==14.3.3
    # via typer
 robomimic==0.2.0
-    # via libero
+    # via hf-libero
 robosuite==1.4.0
-    # via libero
+    # via hf-libero
-rpds-py==0.28.0
+rpds-py==0.30.0
    # via
    #   jsonschema
    #   referencing
-safetensors==0.6.2
+safetensors==0.7.0
    # via
    #   accelerate
    #   diffusers
    #   lerobot
    #   peft
    #   timm
    #   transformers
 scikit-image==0.25.2
    # via
    #   gym-pusht
    #   lerobot
-scipy==1.15.3
+scipy==1.17.1
    # via
    #   dm-control
    #   lerobot
    #   metaworld
    #   robosuite
    #   scikit-image
-sentry-sdk==2.42.1
+    #   torchdiffeq
 sentry-sdk==2.54.0
    # via wandb
 shapely==2.1.2
    # via gym-pusht
 shellingham==1.5.4
    # via typer
 six==1.17.0
    # via
    #   pynput
    #   python-dateutil
    #   python-xlib
-smmap==5.0.2
+smmap==5.0.3
    # via gitdb
 sniffio==1.3.1
    # via anyio
 stack-data==0.6.3
    # via ipython
-starlette==0.48.0
+starlette==0.52.1
    # via fastapi
 sympy==1.14.0
    # via torch
-teleop==0.1.2
+teleop==0.1.4
    # via lerobot
 tensorboard==2.20.0
    # via robomimic
@@ -730,46 +756,38 @@ tensorboard-data-server==0.7.2
    # via tensorboard
 tensorboardx==2.6.4
    # via robomimic
-termcolor==3.1.0
+termcolor==3.3.0
    # via
    #   lerobot
    #   robomimic
 thop==0.1.1.post2209072238
-    # via libero
+    # via hf-libero
-tifffile==2025.5.10
+tifffile==2026.3.3
    # via scikit-image
-timm==1.0.20
+tokenizers==0.22.2
    # via lerobot
 tokenizers==0.22.1
    # via transformers
 toml==0.10.2
    # via draccus
-tomli==2.3.0
+torch==2.10.0
    # via
    #   cmeel
    #   coverage
    #   jupytext
    #   pytest
 torch==2.7.1
    # via
    #   accelerate
    #   flash-attn
    #   lerobot
    #   peft
    #   robomimic
    #   thop
-    #   timm
+    #   torchdiffeq
    #   torchvision
-torchcodec==0.5
+torchcodec==0.10.0
    # via lerobot
-torchvision==0.22.1
+torchdiffeq==0.2.5
    # via lerobot
 torchvision==0.25.0
    # via
    #   lerobot
    #   robomimic
-    #   timm
+tornado==6.5.4
 tornado==6.5.2
    # via meshcat
-tqdm==4.67.1
+tqdm==4.67.3
    # via
    #   datasets
    #   dm-control
@@ -783,26 +801,29 @@ traitlets==5.14.3
    #   jupyter-core
    #   matplotlib-inline
    #   nbformat
-transformers==4.57.1
+transformers==5.3.0
    # via
    #   hf-libero
    #   lerobot
    #   libero
    #   peft
 transforms3d==0.4.2
    # via teleop
-triton==3.3.1
+triton==3.6.0
    # via torch
 typer==0.24.1
    # via
    #   huggingface-hub
    #   transformers
 typing-extensions==4.15.0
    # via
    #   aiosignal
    #   anyio
    #   etils
-    #   exceptiongroup
+    #   faker
    #   fastapi
    #   gymnasium
    #   huggingface-hub
-    #   ipython
+    #   mypy
    #   multidict
    #   pydantic
    #   pydantic-core
    #   referencing
@@ -811,46 +832,46 @@ typing-extensions==4.15.0
    #   torch
    #   typing-inspect
    #   typing-inspection
    #   uvicorn
    #   virtualenv
    #   wandb
 typing-inspect==0.9.0
    # via draccus
 typing-inspection==0.4.2
-    # via pydantic
+    # via
-tzdata==2025.2
+    #   fastapi
    #   pydantic
 tzdata==2025.3
    # via pandas
 u-msgpack-python==2.8.0
    # via meshcat
-urllib3==2.5.0
+urllib3==2.6.3
    # via
    #   requests
    #   sentry-sdk
-uvicorn[standard]==0.38.0
+uvicorn[standard]==0.41.0
    # via teleop
 uvloop==0.22.1
    # via uvicorn
-virtualenv==20.35.3
+virtualenv==21.1.0
    # via pre-commit
-wandb==0.21.4
+wandb==0.24.2
    # via
    #   hf-libero
    #   lerobot
    #   libero
 watchfiles==1.1.1
    # via uvicorn
-wcwidth==0.2.14
+wcwidth==0.6.0
    # via prompt-toolkit
 websocket-client==1.9.0
    # via teleop
-websockets==15.0.1
+websockets==16.0
    # via uvicorn
-werkzeug==3.1.3
+werkzeug==3.1.6
    # via tensorboard
-wrapt==2.0.0
+wrapt==2.1.2
    # via dm-tree
 xxhash==3.6.0
    # via datasets
-yarl==1.22.0
+yarl==1.23.0
    # via aiohttp
 zipp==3.23.0
    # via
--- a/requirements.in
+++ b/requirements.in
@@ -1,9 +1,9 @@
 # requirements.in
-# requirements-macos.txt was generated on macOS and is platform-specific (macOS 26.0.1 25A362 arm64).
+# requirements-macos.txt was generated on macOS and is platform-specific (macOS 26.3.1 25D2128 arm64).
-# Darwin MacBook-Pro.local 25.0.0 Darwin Kernel Version 25.0.0: Wed Sep 17 21:42:08 PDT 2025; root:xnu-12377.1.9~141/RELEASE_ARM64_T8132 arm64
+# Darwin MacBook-Pro.local 25.3.0 Darwin Kernel Version 25.3.0: Wed Jan 28 20:54:55 PST 2026; root:xnu-12377.91.3~2/RELEASE_ARM64_T8132 arm64
-# requirements-ubuntu.txt was generated on Linux and is platform-specific (Ubuntu 24.04.3 LTS x86_64).
+# requirements-ubuntu.txt was generated on Linux and is platform-specific (Ubuntu 24.04.4 LTS x86_64).
-# Linux mlerobot-linux 6.14.0-33-generic #33~24.04.1-Ubuntu SMP PREEMPT_DYNAMIC Fri Sep 19 17:02:30 UTC 2 x86_64 x86_64 x86_64 GNU/Linux
+# Linux lerobot-linux 6.17.0-14-generic #14~24.04.1-Ubuntu SMP PREEMPT_DYNAMIC Thu Jan 15 15:52:10 UTC 2 x86_64 x86_64 x86_64 GNU/Linux
 -e .[all]
--- a/src/lerobot/async_inference/robot_client.py
+++ b/src/lerobot/async_inference/robot_client.py
@@ -49,9 +49,14 @@ import torch
 from lerobot.cameras.opencv.configuration_opencv import OpenCVCameraConfig  # noqa: F401
 from lerobot.cameras.realsense.configuration_realsense import RealSenseCameraConfig  # noqa: F401
-from lerobot.robots import (
+from lerobot.robots import (  # noqa: F401
-    RobotConfig,  # noqa: F401
+    Robot,
    RobotConfig,
    bi_so_follower,
    koch_follower,
    make_robot_from_config,
    omx_follower,
    so_follower,
 )
 from lerobot.transport import (
    services_pb2,  # type: ignore
--- a/src/lerobot/cameras/zmq/camera_zmq.py
+++ b/src/lerobot/cameras/zmq/camera_zmq.py
@@ -181,7 +181,7 @@ class ZMQCamera(Camera):
        try:
            message = self.socket.recv_string()
        except Exception as e:
-            # Check for ZMQ timeout (EAGAIN/Again) without requiring global zmq import
+            # zmq is lazy-imported in connect(), so check by name to avoid a top-level import
            if type(e).__name__ == "Again":
                raise TimeoutError(f"{self} timeout after {self.timeout_ms}ms") from e
            raise
--- a/src/lerobot/cameras/zmq/image_server.py
+++ b/src/lerobot/cameras/zmq/image_server.py
@@ -23,6 +23,7 @@ import base64
 import contextlib
 import json
 import logging
 import threading
 import time
 from collections import deque
@@ -42,10 +43,57 @@ def encode_image(image: np.ndarray, quality: int = 80) -> str:
    return base64.b64encode(buffer).decode("utf-8")
 class CameraCaptureThread:
    """Background thread that continuously captures and encodes frames from a camera."""
    def __init__(self, camera: OpenCVCamera, name: str):
        self.camera = camera
        self.name = name
        self.latest_encoded: str | None = None  # Pre-encoded JPEG as base64
        self.latest_timestamp: float = 0.0
        self.frame_lock = threading.Lock()
        self.running = False
        self.thread: threading.Thread | None = None
    def start(self):
        """Start the capture thread."""
        self.running = True
        self.thread = threading.Thread(target=self._capture_loop, daemon=True)
        self.thread.start()
    def stop(self):
        """Stop the capture thread."""
        self.running = False
        if self.thread:
            self.thread.join(timeout=1.0)
    def _capture_loop(self):
        """Continuously capture and encode frames at the camera's native rate."""
        while self.running:
            try:
                frame = self.camera.read()  # Blocks at camera's native rate
                timestamp = time.time()
                # Encode immediately in capture thread (this is the slow part)
                encoded = encode_image(frame)
                with self.frame_lock:
                    self.latest_encoded = encoded
                    self.latest_timestamp = timestamp
            except Exception as e:
                logger.warning(f"Camera {self.name} capture error: {e}")
                time.sleep(0.01)
    def get_latest(self) -> tuple[str | None, float]:
        """Get the latest encoded frame and its timestamp."""
        with self.frame_lock:
            return self.latest_encoded, self.latest_timestamp
 class ImageServer:
    def __init__(self, config: dict, port: int = 5555):
        # fps controls the publish loop rate (how often frames are sent over ZMQ), not the camera capture rate
        self.fps = config.get("fps", 30)
        self.cameras: dict[str, OpenCVCamera] = {}
        self.capture_threads: dict[str, CameraCaptureThread] = {}
        for name, cfg in config.get("cameras", {}).items():
            shape = cfg.get("shape", [480, 640])
@@ -61,6 +109,10 @@ class ImageServer:
            self.cameras[name] = camera
            logger.info(f"Camera {name}: {shape[1]}x{shape[0]}")
            # Create capture thread for this camera
            capture_thread = CameraCaptureThread(camera, name)
            self.capture_threads[name] = capture_thread
        # ZMQ PUB socket
        self.context = zmq.Context()
        self.socket = self.context.socket(zmq.PUB)
@@ -73,6 +125,18 @@ class ImageServer:
    def run(self):
        frame_count = 0
        frame_times = deque(maxlen=60)
        last_published_ts: dict[str, float] = {}
        # Start all capture threads
        for capture_thread in self.capture_threads.values():
            capture_thread.start()
        # Wait for first frames to be captured and encoded
        logger.info("Waiting for cameras to start capturing...")
        for name, capture_thread in self.capture_threads.items():
            while capture_thread.get_latest()[0] is None:
                time.sleep(0.01)
            logger.info(f"Camera {name} ready (capture + encode in background)")
        try:
            while True:
@@ -80,10 +144,12 @@ class ImageServer:
                # Build message
                message = {"timestamps": {}, "images": {}}
-                for name, cam in self.cameras.items():
+                for name, capture_thread in self.capture_threads.items():
-                    frame = cam.read()  # Returns RGB
+                    encoded, timestamp = capture_thread.get_latest()
-                    message["timestamps"][name] = time.time()
+                    if encoded is not None and timestamp > last_published_ts.get(name, 0.0):
-                    message["images"][name] = encode_image(frame)
+                        message["timestamps"][name] = timestamp
                        message["images"][name] = encoded
                        last_published_ts[name] = timestamp
                # Send as JSON string (suppress if buffer full)
                with contextlib.suppress(zmq.Again):
@@ -102,6 +168,8 @@ class ImageServer:
        except KeyboardInterrupt:
            pass
        finally:
            for capture_thread in self.capture_threads.values():
                capture_thread.stop()
            for cam in self.cameras.values():
                cam.disconnect()
            self.socket.close()
--- a/src/lerobot/configs/train.py
+++ b/src/lerobot/configs/train.py
@@ -50,6 +50,9 @@ class TrainPipelineConfig(HubMixin):
    # `seed` is used for training (eg: model initialization, dataset shuffling)
    # AND for the evaluation environments.
    seed: int | None = 1000
    # Set to True to use deterministic cuDNN algorithms for reproducibility.
    # This disables cudnn.benchmark and may reduce training speed by ~10-20%.
    cudnn_deterministic: bool = False
    # Number of workers for the dataloader.
    num_workers: int = 4
    batch_size: int = 8
--- a/src/lerobot/robots/unitree_g1/init.py
+++ b/src/lerobot/robots/unitree_g1/init.py
@@ -16,3 +16,5 @@
 from .config_unitree_g1 import UnitreeG1Config
 from .unitree_g1 import UnitreeG1
 __all__ = ["UnitreeG1", "UnitreeG1Config"]
--- a/src/lerobot/robots/unitree_g1/config_unitree_g1.py
+++ b/src/lerobot/robots/unitree_g1/config_unitree_g1.py
@@ -27,11 +27,10 @@ _GAINS: dict[str, dict[str, list[float]]] = {
    },  # pitch, roll, yaw, knee, ankle_pitch, ankle_roll
    "right_leg": {"kp": [150, 150, 150, 300, 40, 40], "kd": [2, 2, 2, 4, 2, 2]},
    "waist": {"kp": [250, 250, 250], "kd": [5, 5, 5]},  # yaw, roll, pitch
-    "left_arm": {"kp": [80, 80, 80, 80], "kd": [3, 3, 3, 3]},  # shoulder_pitch/roll/yaw, elbow
+    "left_arm": {"kp": [50, 50, 80, 80], "kd": [3, 3, 3, 3]},  # shoulder_pitch/roll/yaw, elbow
    "left_wrist": {"kp": [40, 40, 40], "kd": [1.5, 1.5, 1.5]},  # roll, pitch, yaw
-    "right_arm": {"kp": [80, 80, 80, 80], "kd": [3, 3, 3, 3]},
+    "right_arm": {"kp": [50, 50, 80, 80], "kd": [3, 3, 3, 3]},
    "right_wrist": {"kp": [40, 40, 40], "kd": [1.5, 1.5, 1.5]},
    "other": {"kp": [80, 80, 80, 80, 80, 80], "kd": [3, 3, 3, 3, 3, 3]},
 }
@@ -68,3 +67,7 @@ class UnitreeG1Config(RobotConfig):
    # Compensates for gravity on the unitree's arms using the arm ik solver
    gravity_compensation: bool = False
    # Lower-body controller class name, e.g. "GrootLocomotionController" or
    # "HolosomaLocomotionController". None disables it.
    controller: str | None = None
--- a/src/lerobot/robots/unitree_g1/robot_kinematic_processor.py
+++ b/src/lerobot/robots/unitree_g1/robot_kinematic_processor.py
@@ -16,13 +16,11 @@
 import logging
 import os
-import sys
+from collections import deque
 import numpy as np
 logger = logging.getLogger(__name__)
 parent2_dir = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 sys.path.append(parent2_dir)
 class WeightedMovingFilter:
@@ -31,18 +29,14 @@ class WeightedMovingFilter:
        self._weights = np.array(weights)
        self._data_size = data_size
        self._filtered_data = np.zeros(self._data_size)
-        self._data_queue = []
+        self._data_queue = deque(maxlen=self._window_size)
    def _apply_filter(self):
        if len(self._data_queue) < self._window_size:
            return self._data_queue[-1]
        data_array = np.array(self._data_queue)
-        temp_filtered_data = np.zeros(self._data_size)
+        return data_array.T @ self._weights
        for i in range(self._data_size):
            temp_filtered_data[i] = np.convolve(data_array[:, i], self._weights, mode="valid")[-1]
        return temp_filtered_data
    def add_data(self, new_data):
        assert len(new_data) == self._data_size
@@ -52,9 +46,6 @@ class WeightedMovingFilter:
        ):  # skip duplicate data
            return
        if len(self._data_queue) >= self._window_size:
            self._data_queue.pop(0)
        self._data_queue.append(new_data)
        self._filtered_data = self._apply_filter()
@@ -71,8 +62,6 @@ class G1_29_ArmIK:  # noqa: N801
        from pinocchio import casadi as cpin
        self._pin = pin
        np.set_printoptions(precision=5, suppress=True, linewidth=200)
        self.unit_test = unit_test
        self.repo_path = snapshot_download("lerobot/unitree-g1-mujoco")
@@ -249,50 +238,35 @@ class G1_29_ArmIK:  # noqa: N801
        self.opti.set_value(self.param_tf_r, right_wrist)
        self.opti.set_value(self.var_q_last, self.init_data)  # for smooth
        converged = True
        try:
            self.opti.solve()
            sol_q = self.opti.value(self.var_q)
            self.smooth_filter.add_data(sol_q)
            sol_q = self.smooth_filter.filtered_data
            if current_lr_arm_motor_dq is not None:
                v = current_lr_arm_motor_dq * 0.0
            else:
                v = (sol_q - self.init_data) * 0.0
            self.init_data = sol_q
            sol_tauff = self._pin.rnea(
                self.reduced_robot.model,
                self.reduced_robot.data,
                sol_q,
                v,
                np.zeros(self.reduced_robot.model.nv),
            )
            return sol_q, sol_tauff
        except Exception as e:
-            logger.error(f"ERROR in convergence, plotting debug info.{e}")
+            converged = False
-
+            logger.error(f"IK convergence error: {e}")
            sol_q = self.opti.debug.value(self.var_q)
            self.smooth_filter.add_data(sol_q)
            sol_q = self.smooth_filter.filtered_data
-            if current_lr_arm_motor_dq is not None:
+        self.smooth_filter.add_data(sol_q)
-                v = current_lr_arm_motor_dq * 0.0
+        sol_q = self.smooth_filter.filtered_data
-            else:
+        self.init_data = sol_q
                v = (sol_q - self.init_data) * 0.0
            self.init_data = sol_q
        if not converged:
            logger.error(
                f"sol_q:{sol_q} \nmotorstate: \n{current_lr_arm_motor_q} \nleft_pose: \n{left_wrist} \nright_pose: \n{right_wrist}"
            )
            return current_lr_arm_motor_q, np.zeros(self.reduced_robot.model.nv)
        sol_tauff = self._pin.rnea(
            self.reduced_robot.model,
            self.reduced_robot.data,
            sol_q,
            np.zeros(self.reduced_robot.model.nv),
            np.zeros(self.reduced_robot.model.nv),
        )
        return sol_q, sol_tauff
    def solve_tau(self, current_lr_arm_motor_q=None, current_lr_arm_motor_dq=None):
        try:
            q_g1 = np.array(current_lr_arm_motor_q, dtype=float)
--- a/src/lerobot/robots/unitree_g1/g1_utils.py
+++ b/src/lerobot/robots/unitree_g1/g1_utils.py
@@ -14,12 +14,34 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import importlib
 from enum import IntEnum
 import numpy as np
 # ruff: noqa: N801, N815
 NUM_MOTORS = 29
 REMOTE_AXES = ("remote.lx", "remote.ly", "remote.rx", "remote.ry")
 REMOTE_BUTTONS = tuple(f"remote.button.{i}" for i in range(16))
 REMOTE_KEYS = REMOTE_AXES + REMOTE_BUTTONS
 def default_remote_input() -> dict[str, float]:
    """Return a zeroed-out remote input dict (axes + buttons)."""
    return dict.fromkeys(REMOTE_KEYS, 0.0)
 def get_gravity_orientation(quaternion: list[float] | np.ndarray) -> np.ndarray:
    """Get gravity orientation from quaternion [w, x, y, z]."""
    qw, qx, qy, qz = quaternion
    gravity_orientation = np.zeros(3, dtype=np.float32)
    gravity_orientation[0] = 2 * (-qz * qx + qw * qy)
    gravity_orientation[1] = -2 * (qz * qy + qw * qx)
    gravity_orientation[2] = 1 - 2 * (qw * qw + qz * qz)
    return gravity_orientation
 class G1_29_JointArmIndex(IntEnum):
    # Left arm
@@ -29,7 +51,7 @@ class G1_29_JointArmIndex(IntEnum):
    kLeftElbow = 18
    kLeftWristRoll = 19
    kLeftWristPitch = 20
-    kLeftWristyaw = 21
+    kLeftWristYaw = 21
    # Right arm
    kRightShoulderPitch = 22
@@ -41,6 +63,21 @@ class G1_29_JointArmIndex(IntEnum):
    kRightWristYaw = 28
 def make_locomotion_controller(name: str | None):
    """Instantiate a locomotion controller by class name. Returns None if name is None."""
    if name is None:
        return None
    controllers = {
        "GrootLocomotionController": "lerobot.robots.unitree_g1.gr00t_locomotion",
        "HolosomaLocomotionController": "lerobot.robots.unitree_g1.holosoma_locomotion",
    }
    module_path = controllers.get(name)
    if module_path is None:
        raise ValueError(f"Unknown controller: {name!r}. Available: {list(controllers)}")
    module = importlib.import_module(module_path)
    return getattr(module, name)()
 class G1_29_JointIndex(IntEnum):
    # Left leg
    kLeftHipPitch = 0
@@ -69,7 +106,7 @@ class G1_29_JointIndex(IntEnum):
    kLeftElbow = 18
    kLeftWristRoll = 19
    kLeftWristPitch = 20
-    kLeftWristyaw = 21
+    kLeftWristYaw = 21
    # Right arm
    kRightShoulderPitch = 22
--- a/src/lerobot/robots/unitree_g1/gr00t_locomotion.py
+++ b/src/lerobot/robots/unitree_g1/gr00t_locomotion.py
@@ -14,20 +14,20 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import argparse
 import logging
 import time
 from collections import deque
 import numpy as np
 import onnxruntime as ort
 from huggingface_hub import hf_hub_download
-from lerobot.robots.unitree_g1.config_unitree_g1 import UnitreeG1Config
+from lerobot.robots.unitree_g1.g1_utils import (
-from lerobot.robots.unitree_g1.g1_utils import G1_29_JointIndex
+    REMOTE_AXES,
-from lerobot.robots.unitree_g1.unitree_g1 import UnitreeG1
+    REMOTE_BUTTONS,
    G1_29_JointIndex,
    get_gravity_orientation,
 )
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
@@ -36,18 +36,13 @@ GROOT_DEFAULT_ANGLES[[0, 6]] = -0.1  # Hip pitch
 GROOT_DEFAULT_ANGLES[[3, 9]] = 0.3  # Knee
 GROOT_DEFAULT_ANGLES[[4, 10]] = -0.2  # Ankle pitch
 MISSING_JOINTS = []
 G1_MODEL = "g1_23"  # Or "g1_29"
 if G1_MODEL == "g1_23":
    MISSING_JOINTS = [12, 14, 20, 21, 27, 28]  # Waist yaw/pitch, wrist pitch/yaw
 # Control parameters
 ACTION_SCALE = 0.25
 CONTROL_DT = 0.02  # 50Hz
 ANG_VEL_SCALE: float = 0.25
 DOF_POS_SCALE: float = 1.0
 DOF_VEL_SCALE: float = 0.05
-CMD_SCALE: list = [2.0, 2.0, 0.25]
+CMD_SCALE: list[float] = [2.0, 2.0, 0.25]
 DEFAULT_GROOT_REPO_ID = "nepyope/GR00T-WholeBodyControl_g1"
@@ -85,11 +80,11 @@ def load_groot_policies(
 class GrootLocomotionController:
    """GR00T lower-body locomotion controller for the Unitree G1."""
-    def __init__(self, policy_balance, policy_walk, robot, config):
+    control_dt = CONTROL_DT  # Expose for unitree_g1.py
-        self.policy_balance = policy_balance
+
-        self.policy_walk = policy_walk
+    def __init__(self):
-        self.robot = robot
+        # Load policies
-        self.config = config
+        self.policy_balance, self.policy_walk = load_groot_policies()
        self.cmd = np.array([0.0, 0.0, 0.0], dtype=np.float32)  # vx, vy, theta_dot
@@ -109,45 +104,60 @@ class GrootLocomotionController:
        logger.info("GrootLocomotionController initialized")
-    def run_step(self):
+    def reset(self) -> None:
-        # Get current observation
+        """Reset internal state for a new episode."""
-        obs = self.robot.get_observation()
+        self.cmd[:] = 0.0
        self.groot_qj_all[:] = 0.0
        self.groot_dqj_all[:] = 0.0
        self.groot_action[:] = 0.0
        self.groot_obs_single[:] = 0.0
        self.groot_obs_stacked[:] = 0.0
        self.groot_height_cmd = 0.74
        self.groot_orientation_cmd[:] = 0.0
        self.groot_obs_history.clear()
        for _ in range(6):
            self.groot_obs_history.append(np.zeros(86, dtype=np.float32))
-        if not obs:
+    def run_step(self, action: dict, lowstate) -> dict:
-            return
+        """Run one step of the locomotion controller.
-        # Get command from remote controller
+        Args:
-        if obs["remote.buttons"][0]:  # R1 - raise waist
+            action: Action dict containing remote.lx/ly/rx/ry and buttons
            lowstate: Robot lowstate containing motor positions/velocities and IMU
        Returns:
            Action dict for lower body joints (0-14)
        """
        if lowstate is None:
            return {}
        buttons = [int(action.get(k, 0)) for k in REMOTE_BUTTONS]
        if buttons[0]:  # R1 - raise waist
            self.groot_height_cmd += 0.001
            self.groot_height_cmd = np.clip(self.groot_height_cmd, 0.50, 1.00)
-        if obs["remote.buttons"][4]:  # R2 - lower waist
+        if buttons[4]:  # R2 - lower waist
            self.groot_height_cmd -= 0.001
            self.groot_height_cmd = np.clip(self.groot_height_cmd, 0.50, 1.00)
-        self.cmd[0] = obs["remote.ly"]  # Forward/backward
+        lx, ly, rx, _ry = (action.get(k, 0.0) for k in REMOTE_AXES)
-        self.cmd[1] = obs["remote.lx"] * -1  # Left/right
+        self.cmd[0] = ly  # Forward/backward
-        self.cmd[2] = obs["remote.rx"] * -1  # Rotation rate
+        self.cmd[1] = -lx  # Left/right (negated)
        self.cmd[2] = -rx  # Rotation rate (negated)
-        # Get joint positions and velocities from flat dict
+        # Get joint positions and velocities from lowstate
        for motor in G1_29_JointIndex:
            name = motor.name
            idx = motor.value
-            self.groot_qj_all[idx] = obs[f"{name}.q"]
+            self.groot_qj_all[idx] = lowstate.motor_state[idx].q
-            self.groot_dqj_all[idx] = obs[f"{name}.dq"]
+            self.groot_dqj_all[idx] = lowstate.motor_state[idx].dq
        # Adapt observation for g1_23dof
        for idx in MISSING_JOINTS:
            self.groot_qj_all[idx] = 0.0
            self.groot_dqj_all[idx] = 0.0
        # Scale joint positions and velocities
        qj_obs = self.groot_qj_all.copy()
        dqj_obs = self.groot_dqj_all.copy()
        # Express IMU data in gravity frame of reference
-        quat = [obs["imu.quat.w"], obs["imu.quat.x"], obs["imu.quat.y"], obs["imu.quat.z"]]
+        quat = lowstate.imu_state.quaternion
-        ang_vel = np.array([obs["imu.gyro.x"], obs["imu.gyro.y"], obs["imu.gyro.z"]], dtype=np.float32)
+        ang_vel = np.array(lowstate.imu_state.gyroscope, dtype=np.float32)
-        gravity_orientation = self.robot.get_gravity_orientation(quat)
+        gravity_orientation = get_gravity_orientation(quat)
        # Scale joint positions and velocities before policy inference
        qj_obs = (qj_obs - GROOT_DEFAULT_ANGLES) * DOF_POS_SCALE
@@ -186,73 +196,10 @@ class GrootLocomotionController:
        # Transform action back to target joint positions
        target_dof_pos_15 = GROOT_DEFAULT_ANGLES[:15] + self.groot_action * ACTION_SCALE
-        # Build action dict (only first 15 joints for GR00T)
+        # Build action dict
        action_dict = {}
        for i in range(15):
            motor_name = G1_29_JointIndex(i).name
            action_dict[f"{motor_name}.q"] = float(target_dof_pos_15[i])
-        # Zero out missing joints for g1_23dof
+        return action_dict
        for joint_idx in MISSING_JOINTS:
            motor_name = G1_29_JointIndex(joint_idx).name
            action_dict[f"{motor_name}.q"] = 0.0
        # Send action to robot
        self.robot.send_action(action_dict)
 def run(repo_id: str = DEFAULT_GROOT_REPO_ID) -> None:
    """Main function to run the GR00T locomotion controller.
    Args:
        repo_id: Hugging Face Hub repository ID for GR00T policies.
    """
    # Load policies
    policy_balance, policy_walk = load_groot_policies(repo_id=repo_id)
    # Initialize robot
    config = UnitreeG1Config()
    robot = UnitreeG1(config)
    robot.connect()
    # Initialize gr00T locomotion controller
    groot_controller = GrootLocomotionController(
        policy_balance=policy_balance,
        policy_walk=policy_walk,
        robot=robot,
        config=config,
    )
    try:
        robot.reset(CONTROL_DT, GROOT_DEFAULT_ANGLES)
        logger.info("Use joystick: LY=fwd/back, LX=left/right, RX=rotate, R1=raise waist, R2=lower waist")
        logger.info("Press Ctrl+C to stop")
        # Run step
        while not robot._shutdown_event.is_set():
            start_time = time.time()
            groot_controller.run_step()
            elapsed = time.time() - start_time
            sleep_time = max(0, CONTROL_DT - elapsed)
            time.sleep(sleep_time)
    except KeyboardInterrupt:
        logger.info("Stopping locomotion...")
    finally:
        if robot.is_connected:
            robot.disconnect()
        logger.info("Done!")
 if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="GR00T Locomotion Controller for Unitree G1")
    parser.add_argument(
        "--repo-id",
        type=str,
        default=DEFAULT_GROOT_REPO_ID,
        help=f"Hugging Face Hub repo ID for GR00T policies (default: {DEFAULT_GROOT_REPO_ID})",
    )
    args = parser.parse_args()
    run(repo_id=args.repo_id)
--- a/src/lerobot/robots/unitree_g1/holosoma_locomotion.py
+++ b/src/lerobot/robots/unitree_g1/holosoma_locomotion.py
@@ -14,21 +14,21 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import argparse
 import json
 import logging
 import time
 import numpy as np
 import onnx
 import onnxruntime as ort
 from huggingface_hub import hf_hub_download
-from lerobot.robots.unitree_g1.config_unitree_g1 import UnitreeG1Config
+from lerobot.robots.unitree_g1.g1_utils import (
-from lerobot.robots.unitree_g1.g1_utils import G1_29_JointIndex
+    REMOTE_AXES,
-from lerobot.robots.unitree_g1.unitree_g1 import UnitreeG1
+    G1_29_JointArmIndex,
    G1_29_JointIndex,
    get_gravity_orientation,
 )
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 DEFAULT_ANGLES = np.zeros(29, dtype=np.float32)
@@ -40,18 +40,13 @@ DEFAULT_ANGLES[16] = 0.2  # Left shoulder roll
 DEFAULT_ANGLES[23] = -0.2  # Right shoulder roll
 DEFAULT_ANGLES[[18, 25]] = 0.6  # Elbow
 MISSING_JOINTS = []
 G1_MODEL = "g1_23"  # Or "g1_29"
 if G1_MODEL == "g1_23":
    MISSING_JOINTS = [12, 14, 20, 21, 27, 28]  # Waist yaw/pitch, wrist pitch/yaw
 # Control parameters
 ACTION_SCALE = 0.25
-CONTROL_DT = 0.02  # 50Hz
+CONTROL_DT = 0.005  # 200Hz
 ANG_VEL_SCALE = 0.25
 DOF_POS_SCALE = 1.0
 DOF_VEL_SCALE = 0.05
-GAIT_PERIOD = 1.0
+GAIT_PERIOD = 0.5
 DEFAULT_HOLOSOMA_REPO_ID = "nepyope/holosoma_locomotion"
@@ -87,7 +82,7 @@ def load_policy(
    logger.info(f"Policy loaded: {policy.get_inputs()[0].shape} → {policy.get_outputs()[0].shape}")
    # Extract KP/KD from ONNX metadata
-    model = onnx.load(policy_path)
+    model = onnx.load(policy_path, load_external_data=False)
    metadata = {prop.key: prop.value for prop in model.metadata_props}
    if "kp" not in metadata or "kd" not in metadata:
@@ -101,15 +96,13 @@ def load_policy(
 class HolosomaLocomotionController:
-    """Holosoma whole-body locomotion controller for Unitree G1."""
+    """Holosoma lower-body locomotion controller for Unitree G1."""
-    def __init__(self, policy, robot, kp: np.ndarray, kd: np.ndarray):
+    control_dt = CONTROL_DT  # Expose for unitree_g1.py
        self.policy = policy
        self.robot = robot
-        # Override robot's PD gains with policy gains
+    def __init__(self):
-        self.robot.kp = kp
+        # Load policy and gains
-        self.robot.kd = kd
+        self.policy, self.kp, self.kd = load_policy()
        self.cmd = np.zeros(3, dtype=np.float32)
@@ -124,35 +117,55 @@ class HolosomaLocomotionController:
        self.phase_dt = 2 * np.pi / ((1.0 / CONTROL_DT) * GAIT_PERIOD)
        self.is_standing = True
-    def run_step(self):
+        logger.info("HolosomaLocomotionController initialized")
        # Get current observation
        obs = self.robot.get_observation()
-        if not obs:
+    def reset(self) -> None:
-            return
+        """Reset internal state for a new episode."""
        self.cmd[:] = 0.0
        self.qj[:] = 0.0
        self.dqj[:] = 0.0
        self.obs[:] = 0.0
        self.last_action[:] = 0.0
        self.phase = np.array([[0.0, np.pi]], dtype=np.float32)
        self.is_standing = True
-        # Get command from remote controller
+    def run_step(self, action: dict, lowstate) -> dict:
-        ly = obs["remote.ly"] if abs(obs["remote.ly"]) > 0.1 else 0.0
+        """Run one step of the locomotion controller.
-        lx = obs["remote.lx"] if abs(obs["remote.lx"]) > 0.1 else 0.0
+
-        rx = obs["remote.rx"] if abs(obs["remote.rx"]) > 0.1 else 0.0
+        Args:
            action: Action dict containing remote.lx/ly/rx/ry
            lowstate: Robot lowstate containing motor positions/velocities and IMU
        Returns:
            Action dict for lower body joints (0-14)
        """
        if lowstate is None:
            return {}
        lx, ly, rx, _ry = (action.get(k, 0.0) for k in REMOTE_AXES)
        ly = ly if abs(ly) > 0.1 else 0.0
        lx = lx if abs(lx) > 0.1 else 0.0
        rx = rx if abs(rx) > 0.1 else 0.0
        ly = np.clip(ly, -0.3, 0.3)
        lx = np.clip(lx, -0.3, 0.3)
        self.cmd[:] = [ly, -lx, -rx]
-        # Get joint positions and velocities
+        # Get joint positions and velocities from lowstate
        for motor in G1_29_JointIndex:
            name = motor.name
            idx = motor.value
-            self.qj[idx] = obs[f"{name}.q"]
+            self.qj[idx] = lowstate.motor_state[idx].q
-            self.dqj[idx] = obs[f"{name}.dq"]
+            self.dqj[idx] = lowstate.motor_state[idx].dq
-        # Adapt observation for g1_23dof
+        # Hide arm positions from policy (show DEFAULT_ANGLES instead)
-        for idx in MISSING_JOINTS:
+        # This prevents policy from reacting to teleop arm movements
-            self.qj[idx] = 0.0
+        for arm_joint in G1_29_JointArmIndex:
-            self.dqj[idx] = 0.0
+            self.qj[arm_joint.value] = DEFAULT_ANGLES[arm_joint.value]
            self.dqj[arm_joint.value] = 0.0
        # Express IMU data in gravity frame of reference
-        quat = [obs["imu.quat.w"], obs["imu.quat.x"], obs["imu.quat.y"], obs["imu.quat.z"]]
+        quat = lowstate.imu_state.quaternion
-        ang_vel = np.array([obs["imu.gyro.x"], obs["imu.gyro.y"], obs["imu.gyro.z"]], dtype=np.float32)
+        ang_vel = np.array(lowstate.imu_state.gyroscope, dtype=np.float32)
-        gravity = self.robot.get_gravity_orientation(quat)
+        gravity = get_gravity_orientation(quat)
        # Scale joint positions and velocities before policy inference
        qj_obs = (self.qj - DEFAULT_ANGLES) * DOF_POS_SCALE
@@ -186,79 +199,16 @@ class HolosomaLocomotionController:
        # Run policy inference
        ort_in = {self.policy.get_inputs()[0].name: self.obs.reshape(1, -1).astype(np.float32)}
        raw_action = self.policy.run(None, ort_in)[0].squeeze()
-        action = np.clip(raw_action, -100.0, 100.0)
+        policy_action = np.clip(raw_action, -100.0, 100.0)
-        self.last_action = action.copy()
+        self.last_action = policy_action.copy()
        # Transform action back to target joint positions
-        target = DEFAULT_ANGLES + action * ACTION_SCALE
+        target = DEFAULT_ANGLES + policy_action * ACTION_SCALE
-        # Build action dict
+        # Build action dict (first 15 joints only)
        action_dict = {}
-        for motor in G1_29_JointIndex:
+        for i in range(15):
-            action_dict[f"{motor.name}.q"] = float(target[motor.value])
+            motor_name = G1_29_JointIndex(i).name
            action_dict[f"{motor_name}.q"] = float(target[i])
-        # Zero out missing joints for g1_23dof
+        return action_dict
        for joint_idx in MISSING_JOINTS:
            motor_name = G1_29_JointIndex(joint_idx).name
            action_dict[f"{motor_name}.q"] = 0.0
        # Send action to robot
        self.robot.send_action(action_dict)
 def run(repo_id: str = DEFAULT_HOLOSOMA_REPO_ID, policy_type: str = "fastsac") -> None:
    """Main function to run the Holosoma locomotion controller.
    Args:
        repo_id: Hugging Face Hub repository ID for Holosoma policies.
        policy_type: Policy type to use ('fastsac' or 'ppo').
    """
    # Load policy and gains
    policy, kp, kd = load_policy(repo_id=repo_id, policy_type=policy_type)
    # Initialize robot
    config = UnitreeG1Config()
    robot = UnitreeG1(config)
    robot.connect()
    holosoma_controller = HolosomaLocomotionController(policy, robot, kp, kd)
    try:
        robot.reset(CONTROL_DT, DEFAULT_ANGLES)
        logger.info("Use joystick: LY=fwd/back, LX=left/right, RX=rotate")
        logger.info("Press Ctrl+C to stop")
        # Run step
        while not robot._shutdown_event.is_set():
            start_time = time.time()
            holosoma_controller.run_step()
            elapsed = time.time() - start_time
            sleep_time = max(0, CONTROL_DT - elapsed)
            time.sleep(sleep_time)
    except KeyboardInterrupt:
        logger.info("Stopping locomotion...")
    finally:
        if robot.is_connected:
            robot.disconnect()
        logger.info("Done!")
 if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="Holosoma Locomotion Controller for Unitree G1")
    parser.add_argument(
        "--repo-id",
        type=str,
        default=DEFAULT_HOLOSOMA_REPO_ID,
        help=f"Hugging Face Hub repo ID for Holosoma policies (default: {DEFAULT_HOLOSOMA_REPO_ID})",
    )
    parser.add_argument(
        "--policy",
        type=str,
        choices=["fastsac", "ppo"],
        default="fastsac",
        help="Policy type to use: 'fastsac' (default) or 'ppo'",
    )
    args = parser.parse_args()
    run(repo_id=args.repo_id, policy_type=args.policy)
--- a/src/lerobot/robots/unitree_g1/run_g1_server.py
+++ b/src/lerobot/robots/unitree_g1/run_g1_server.py
@@ -24,6 +24,7 @@ This server runs on the robot and forwards:
 Uses JSON for secure serialization instead of pickle.
 """
 import argparse
 import base64
 import contextlib
 import json
@@ -38,6 +39,8 @@ from unitree_sdk2py.idl.default import unitree_hg_msg_dds__LowCmd_
 from unitree_sdk2py.idl.unitree_hg.msg.dds_ import LowCmd_ as hg_LowCmd, LowState_ as hg_LowState
 from unitree_sdk2py.utils.crc import CRC
 from lerobot.cameras.zmq.image_server import ImageServer
 # DDS topic names follow Unitree SDK naming conventions
 # ruff: noqa: N816
 kTopicLowCommand_Debug = "rt/lowcmd"  # action to robot
@@ -150,6 +153,32 @@ def cmd_forward_loop(
 def main() -> None:
    """Main entry point for the robot server bridge."""
    parser = argparse.ArgumentParser(description="DDS-to-ZMQ bridge server for Unitree G1")
    parser.add_argument("--camera", action="store_true", help="Also launch camera server")
    parser.add_argument("--camera-device", type=int, default=4, help="Camera device ID (default: 4)")
    parser.add_argument("--camera-fps", type=int, default=30, help="Camera FPS (default: 30)")
    parser.add_argument("--camera-width", type=int, default=640, help="Camera width (default: 640)")
    parser.add_argument("--camera-height", type=int, default=480, help="Camera height (default: 480)")
    parser.add_argument("--camera-port", type=int, default=5555, help="Camera ZMQ port (default: 5555)")
    args = parser.parse_args()
    # Optionally start camera server in background thread
    camera_thread = None
    if args.camera:
        camera_config = {
            "fps": args.camera_fps,
            "cameras": {
                "head_camera": {
                    "device_id": args.camera_device,
                    "shape": [args.camera_height, args.camera_width],
                }
            },
        }
        camera_server = ImageServer(camera_config, port=args.camera_port)
        camera_thread = threading.Thread(target=camera_server.run, daemon=True)
        camera_thread.start()
        print(f"Camera server started on port {args.camera_port} (device {args.camera_device})")
    # initialize DDS
    ChannelFactoryInitialize(0)
@@ -206,6 +235,8 @@ def main() -> None:
        shutdown_event.set()
        ctx.term()  # terminates blocking zmq.recv() calls
        t_state.join(timeout=2.0)
        if camera_thread is not None:
            camera_thread.join(timeout=2.0)
 if __name__ == "__main__":
--- a/src/lerobot/robots/unitree_g1/unitree_g1.py
+++ b/src/lerobot/robots/unitree_g1/unitree_g1.py
@@ -14,27 +14,67 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 from __future__ import annotations
 import logging
 import struct
 import threading
 import time
 from dataclasses import dataclass, field
 from functools import cached_property
-from typing import Any
+from typing import TYPE_CHECKING, Protocol, runtime_checkable
 import numpy as np
 from lerobot.cameras.utils import make_cameras_from_configs
 from lerobot.envs.factory import make_env
 from lerobot.processor import RobotAction, RobotObservation
-from lerobot.robots.unitree_g1.g1_utils import G1_29_JointArmIndex, G1_29_JointIndex
+from lerobot.robots.unitree_g1.g1_kinematics import G1_29_ArmIK
-from lerobot.robots.unitree_g1.robot_kinematic_processor import G1_29_ArmIK
+from lerobot.robots.unitree_g1.g1_utils import (
    REMOTE_AXES,
    REMOTE_KEYS,
    G1_29_JointArmIndex,
    G1_29_JointIndex,
    default_remote_input,
    make_locomotion_controller,
 )
 from lerobot.utils.import_utils import _unitree_sdk_available
 from ..robot import Robot
 from .config_unitree_g1 import UnitreeG1Config
 if TYPE_CHECKING or _unitree_sdk_available:
    from unitree_sdk2py.core.channel import (
        ChannelFactoryInitialize as _SDKChannelFactoryInitialize,
        ChannelPublisher as _SDKChannelPublisher,
        ChannelSubscriber as _SDKChannelSubscriber,
    )
    from unitree_sdk2py.idl.default import unitree_hg_msg_dds__LowCmd_
    from unitree_sdk2py.idl.unitree_hg.msg.dds_ import (
        LowCmd_ as hg_LowCmd,
        LowState_ as hg_LowState,
    )
    from unitree_sdk2py.utils.crc import CRC
 else:
    _SDKChannelFactoryInitialize = None
    _SDKChannelPublisher = None
    _SDKChannelSubscriber = None
    unitree_hg_msg_dds__LowCmd_ = None
    hg_LowCmd = None
    hg_LowState = None
    CRC = None
 logger = logging.getLogger(__name__)
@runtime_checkable
 class LocomotionController(Protocol):
    control_dt: float
    def run_step(self, action: dict, lowstate) -> dict: ...
    def reset(self) -> None: ...
 # DDS topic names follow Unitree SDK naming conventions
 # ruff: noqa: N816
 kTopicLowCommand_Debug = "rt/lowcmd"
@@ -63,7 +103,7 @@ class IMUState:
 class G1_29_LowState:  # noqa: N801
    motor_state: list[MotorState] = field(default_factory=lambda: [MotorState() for _ in G1_29_JointIndex])
    imu_state: IMUState = field(default_factory=IMUState)
-    wireless_remote: Any = None  # Raw wireless remote data
+    wireless_remote: bytes | None = None  # Raw wireless remote data
    mode_machine: int = 0  # Robot mode
@@ -71,25 +111,6 @@ class UnitreeG1(Robot):
    config_class = UnitreeG1Config
    name = "unitree_g1"
    # unitree remote controller
    class RemoteController:
        def __init__(self):
            self.lx = 0
            self.ly = 0
            self.rx = 0
            self.ry = 0
            self.button = [0] * 16
        def set(self, data):
            # wireless_remote
            keys = struct.unpack("H", data[2:4])[0]
            for i in range(16):
                self.button[i] = (keys & (1 << i)) >> i
            self.lx = struct.unpack("f", data[4:8])[0]
            self.rx = struct.unpack("f", data[8:12])[0]
            self.ry = struct.unpack("f", data[12:16])[0]
            self.ly = struct.unpack("f", data[20:24])[0]
    def __init__(self, config: UnitreeG1Config):
        super().__init__(config)
@@ -103,11 +124,9 @@ class UnitreeG1(Robot):
        # Import channel classes based on mode
        if config.is_simulation:
-            from unitree_sdk2py.core.channel import (
+            self._ChannelFactoryInitialize = _SDKChannelFactoryInitialize
-                ChannelFactoryInitialize,
+            self._ChannelPublisher = _SDKChannelPublisher
-                ChannelPublisher,
+            self._ChannelSubscriber = _SDKChannelSubscriber
                ChannelSubscriber,
            )
        else:
            from lerobot.robots.unitree_g1.unitree_sdk2_socket import (
                ChannelFactoryInitialize,
@@ -115,22 +134,30 @@ class UnitreeG1(Robot):
                ChannelSubscriber,
            )
-        # Store for use in connect()
+            self._ChannelFactoryInitialize = ChannelFactoryInitialize
-        self._ChannelFactoryInitialize = ChannelFactoryInitialize
+            self._ChannelPublisher = ChannelPublisher
-        self._ChannelPublisher = ChannelPublisher
+            self._ChannelSubscriber = ChannelSubscriber
        self._ChannelSubscriber = ChannelSubscriber
        # Initialize state variables
        self.sim_env = None
        self._env_wrapper = None
        self._lowstate = None
        self._lowstate_lock = threading.Lock()
        self._shutdown_event = threading.Event()
        self.subscribe_thread = None
        self.remote_controller = self.RemoteController()
-        self.arm_ik = G1_29_ArmIK()
+        self.arm_ik = G1_29_ArmIK() if config.gravity_compensation else None
-    def _subscribe_motor_state(self):  # polls robot state @ 250Hz
+        # Lower-body controller loaded dynamically
        self.controller: LocomotionController | None = make_locomotion_controller(config.controller)
        # Controller thread state
        self._controller_thread = None
        self._controller_action_lock = threading.Lock()
        self.controller_input = default_remote_input()
        self.controller_output = {}
    def _subscribe_lowstate(self):  # polls robot state @ 250Hz
        while not self._shutdown_event.is_set():
            start_time = time.time()
@@ -143,11 +170,11 @@ class UnitreeG1(Robot):
                lowstate = G1_29_LowState()
                # Capture motor states using jointindex
-                for id in G1_29_JointIndex:
+                for joint in G1_29_JointIndex:
-                    lowstate.motor_state[id].q = msg.motor_state[id].q
+                    lowstate.motor_state[joint].q = msg.motor_state[joint].q
-                    lowstate.motor_state[id].dq = msg.motor_state[id].dq
+                    lowstate.motor_state[joint].dq = msg.motor_state[joint].dq
-                    lowstate.motor_state[id].tau_est = msg.motor_state[id].tau_est
+                    lowstate.motor_state[joint].tau_est = msg.motor_state[joint].tau_est
-                    lowstate.motor_state[id].temperature = msg.motor_state[id].temperature
+                    lowstate.motor_state[joint].temperature = msg.motor_state[joint].temperature
                # Capture IMU state
                lowstate.imu_state.quaternion = list(msg.imu_state.quaternion)
@@ -162,31 +189,106 @@ class UnitreeG1(Robot):
                # Capture mode_machine
                lowstate.mode_machine = msg.mode_machine
-                self._lowstate = lowstate
+                with self._lowstate_lock:
                    self._lowstate = lowstate
            current_time = time.time()
            all_t_elapsed = current_time - start_time
            sleep_time = max(0, (self.control_dt - all_t_elapsed))  # maintain constant control dt
            time.sleep(sleep_time)
    def publish_lowcmd(
        self,
        action: RobotAction,
        kp: np.ndarray | list[float] | None = None,
        kd: np.ndarray | list[float] | None = None,
        tau: np.ndarray | list[float] | None = None,
    ) -> None:  # writes robot command whenever requested
        for motor in G1_29_JointIndex:
            key = f"{motor.name}.q"
            if key in action:
                self.msg.motor_cmd[motor.value].q = action[key]
                self.msg.motor_cmd[motor.value].qd = 0
                self.msg.motor_cmd[motor.value].kp = (
                    kp[motor.value] if kp is not None else self.kp[motor.value]
                )
                self.msg.motor_cmd[motor.value].kd = (
                    kd[motor.value] if kd is not None else self.kd[motor.value]
                )
                self.msg.motor_cmd[motor.value].tau = tau[motor.value] if tau is not None else 0.0
        self.msg.crc = self.crc.Crc(self.msg)
        self.lowcmd_publisher.Write(self.msg)
    @property
    def _cameras_ft(self) -> dict[str, tuple]:
        return {
            cam: (self.config.cameras[cam].height, self.config.cameras[cam].width, 3) for cam in self.cameras
        }
    @cached_property
    def observation_features(self) -> dict[str, type | tuple]:
        return {**self._motors_ft, **self._cameras_ft}
    @cached_property
    def action_features(self) -> dict[str, type]:
-        return {f"{G1_29_JointIndex(motor).name}.q": float for motor in G1_29_JointIndex}
+        if self.controller is None:
            return {f"{G1_29_JointIndex(motor).name}.q": float for motor in G1_29_JointIndex}
-    def calibrate(self) -> None:  # robot is already calibrated
+        arm_features = {f"{G1_29_JointArmIndex(motor).name}.q": float for motor in G1_29_JointArmIndex}
        remote_features = dict.fromkeys(REMOTE_AXES, float)
        return {**arm_features, **remote_features}
    def _controller_loop(self):
        """Background thread that runs controller at policy's control_dt."""
        control_dt = self.controller.control_dt
        logger.info(f"Controller loop starting with control_dt={control_dt} ({1.0 / control_dt:.1f}Hz)")
        loop_count = 0
        last_log_time = time.time()
        while not self._shutdown_event.is_set():
            start_time = time.time()
            with self._lowstate_lock:
                lowstate = self._lowstate
            if lowstate is not None and self.controller is not None:
                loop_count += 1
                if time.time() - last_log_time >= 5.0:  # Log every 5 seconds
                    actual_hz = loop_count / (time.time() - last_log_time)
                    logger.info(
                        f"Controller actual rate: {actual_hz:.1f}Hz (target: {1.0 / control_dt:.1f}Hz)"
                    )
                    loop_count = 0
                    last_log_time = time.time()
                # Read controller input snapshot
                with self._controller_action_lock:
                    controller_input = dict(self.controller_input)
                # Run controller step
                controller_action = self.controller.run_step(controller_input, lowstate)
                # Write controller output snapshot
                with self._controller_action_lock:
                    self.controller_output = dict(controller_action)
                ctrl_kp = self.controller.kp if hasattr(self.controller, "kp") else None
                ctrl_kd = self.controller.kd if hasattr(self.controller, "kd") else None
                self.publish_lowcmd(controller_action, kp=ctrl_kp, kd=ctrl_kd)
            elapsed = time.time() - start_time
            sleep_time = max(0, control_dt - elapsed)
            time.sleep(sleep_time)
    def calibrate(self) -> None:
        # TODO: implement g1_29 calibration
        pass
    def configure(self) -> None:
        pass
    def connect(self, calibrate: bool = True) -> None:  # connect to DDS
        from unitree_sdk2py.idl.default import unitree_hg_msg_dds__LowCmd_
        from unitree_sdk2py.idl.unitree_hg.msg.dds_ import (
            LowCmd_ as hg_LowCmd,
            LowState_ as hg_LowState,
        )
        from unitree_sdk2py.utils.crc import CRC
        # Initialize DDS channel and simulation environment
        if self.config.is_simulation:
            self._ChannelFactoryInitialize(0, "lo")
@@ -194,7 +296,7 @@ class UnitreeG1(Robot):
            # Extract the actual gym env from the dict structure
            self.sim_env = self._env_wrapper["hub_env"][0].envs[0]
        else:
-            self._ChannelFactoryInitialize(0)
+            self._ChannelFactoryInitialize(0, config=self.config)
        # Initialize direct motor control interface
        self.lowcmd_publisher = self._ChannelPublisher(kTopicLowCommand_Debug, hg_LowCmd)
@@ -203,7 +305,7 @@ class UnitreeG1(Robot):
        self.lowstate_subscriber.Init()
        # Start subscribe thread to read robot state
-        self.subscribe_thread = threading.Thread(target=self._subscribe_motor_state)
+        self.subscribe_thread = threading.Thread(target=self._subscribe_lowstate)
        self.subscribe_thread.start()
        # Connect cameras
@@ -220,25 +322,53 @@ class UnitreeG1(Robot):
        # Wait for first state message to arrive
        lowstate = None
        deadline = time.time() + 10.0
        while lowstate is None:
-            lowstate = self._lowstate
+            with self._lowstate_lock:
                lowstate = self._lowstate
            if lowstate is None:
                if time.time() > deadline:
                    raise TimeoutError("Timed out waiting for robot state (10s)")
                logger.warning("[UnitreeG1] Waiting for robot state...")
                time.sleep(0.01)
-            logger.warning("[UnitreeG1] Waiting for robot state...")
+        logger.info("[UnitreeG1] Connected to robot.")
        logger.warning("[UnitreeG1] Connected to robot.")
        self.msg.mode_machine = lowstate.mode_machine
        # Initialize all motors with unified kp/kd from config
        self.kp = np.array(self.config.kp, dtype=np.float32)
        self.kd = np.array(self.config.kd, dtype=np.float32)
-        for id in G1_29_JointIndex:
+        for joint in G1_29_JointIndex:
-            self.msg.motor_cmd[id].mode = 1
+            self.msg.motor_cmd[joint].mode = 1
-            self.msg.motor_cmd[id].kp = self.kp[id.value]
+            self.msg.motor_cmd[joint].kp = self.kp[joint.value]
-            self.msg.motor_cmd[id].kd = self.kd[id.value]
+            self.msg.motor_cmd[joint].kd = self.kd[joint.value]
-            self.msg.motor_cmd[id].q = lowstate.motor_state[id.value].q
+            self.msg.motor_cmd[joint].q = lowstate.motor_state[joint.value].q
        # Start controller thread if enabled
        if self.controller is not None:
            self._controller_thread = threading.Thread(target=self._controller_loop, daemon=True)
            self._controller_thread.start()
            fps = int(1.0 / self.controller.control_dt)
            logger.info(f"Controller thread started ({fps}Hz)")
    def _send_zero_torque(self) -> None:
        """Send a zero-gain command to make joints passive before shutting down."""
        try:
            with self._lowstate_lock:
                lowstate = self._lowstate
            if lowstate is None:
                return
            action = {f"{motor.name}.q": lowstate.motor_state[motor.value].q for motor in G1_29_JointIndex}
            zero_gains = np.zeros(29, dtype=np.float32)
            self.publish_lowcmd(action, kp=zero_gains, kd=zero_gains, tau=zero_gains)
            logger.info("Sent zero-torque command for safe shutdown")
        except Exception as e:
            logger.warning(f"Failed to send zero-torque on disconnect: {e}")
    def disconnect(self):
        # Put robot in passive mode before stopping threads
        if not self.config.is_simulation:
            self._send_zero_torque()
        # Signal thread to stop and unblock any waits
        self._shutdown_event.set()
@@ -248,6 +378,12 @@ class UnitreeG1(Robot):
            if self.subscribe_thread.is_alive():
                logger.warning("Subscribe thread did not stop cleanly")
        # Wait for controller thread to finish
        if self._controller_thread is not None:
            self._controller_thread.join(timeout=2.0)
            if self._controller_thread.is_alive():
                logger.warning("Controller thread did not stop cleanly")
        # Close simulation environment
        if self.config.is_simulation and self.sim_env is not None:
            try:
@@ -274,7 +410,8 @@ class UnitreeG1(Robot):
            cam.disconnect()
    def get_observation(self) -> RobotObservation:
-        lowstate = self._lowstate
+        with self._lowstate_lock:
            lowstate = self._lowstate
        if lowstate is None:
            return {}
@@ -313,14 +450,9 @@ class UnitreeG1(Robot):
            obs["imu.rpy.pitch"] = lowstate.imu_state.rpy[1]
            obs["imu.rpy.yaw"] = lowstate.imu_state.rpy[2]
-        # Controller - parse wireless_remote and add to obs
+        # Wireless remote (raw bytes for teleoperator)
-        if lowstate.wireless_remote and len(lowstate.wireless_remote) >= 24:
+        if lowstate.wireless_remote:
-            self.remote_controller.set(lowstate.wireless_remote)
+            obs["wireless_remote"] = lowstate.wireless_remote
        obs["remote.buttons"] = self.remote_controller.button.copy()
        obs["remote.lx"] = self.remote_controller.lx
        obs["remote.ly"] = self.remote_controller.ly
        obs["remote.rx"] = self.remote_controller.rx
        obs["remote.ry"] = self.remote_controller.ry
        # Cameras - read images from ZMQ cameras
        for cam_name, cam in self._cameras.items():
@@ -328,73 +460,63 @@ class UnitreeG1(Robot):
        return obs
    def send_action(self, action: RobotAction) -> RobotAction:
        action_to_publish = action
        if self.controller is not None:
            # Controller thread owns legs/waist. Here we only update joystick inputs
            # and publish arm targets from the teleoperator.
            self._update_controller_action(action)
            arm_prefixes = tuple(j.name for j in G1_29_JointArmIndex)
            action_to_publish = {
                key: value
                for key, value in action.items()
                if key.endswith(".q") and key.startswith(arm_prefixes)
            }
        tau = None
        if self.config.gravity_compensation and self.arm_ik is not None:
            tau = np.zeros(29, dtype=np.float32)
            action_np = np.array(
                [
                    action_to_publish.get(f"{joint.name}.q", self.msg.motor_cmd[joint.value].q)
                    for joint in G1_29_JointArmIndex
                ],
                dtype=np.float32,
            )
            arm_tau = self.arm_ik.solve_tau(action_np)
            arm_start_idx = G1_29_JointArmIndex.kLeftShoulderPitch.value
            for joint in G1_29_JointArmIndex:
                local_idx = joint.value - arm_start_idx
                tau[joint.value] = arm_tau[local_idx]
        self.publish_lowcmd(action_to_publish, tau=tau)
        return action
    def _update_controller_action(self, action: RobotAction) -> None:
        """Update controller input state from incoming teleop action."""
        with self._controller_action_lock:
            for key in REMOTE_KEYS:
                if key in action:
                    self.controller_input[key] = action[key]
    @property
    def is_calibrated(self) -> bool:
        return True
    @property
    def is_connected(self) -> bool:
-        return self._lowstate is not None
+        with self._lowstate_lock:
            return self._lowstate is not None
    @property
    def _motors_ft(self) -> dict[str, type]:
        """Joint positions for all 29 joints."""
        return {f"{G1_29_JointIndex(motor).name}.q": float for motor in G1_29_JointIndex}
    @property
    def cameras(self) -> dict:
        return self._cameras
    @property
    def _cameras_ft(self) -> dict[str, tuple]:
        return {
            cam: (self.config.cameras[cam].height, self.config.cameras[cam].width, 3) for cam in self.cameras
        }
    @cached_property
    def observation_features(self) -> dict[str, type | tuple]:
        return {**self._motors_ft, **self._cameras_ft}
    def send_action(self, action: RobotAction) -> RobotAction:
        for motor in G1_29_JointIndex:
            key = f"{motor.name}.q"
            if key in action:
                self.msg.motor_cmd[motor.value].q = action[key]
                self.msg.motor_cmd[motor.value].qd = 0
                self.msg.motor_cmd[motor.value].kp = self.kp[motor.value]
                self.msg.motor_cmd[motor.value].kd = self.kd[motor.value]
                self.msg.motor_cmd[motor.value].tau = 0
        if self.config.gravity_compensation:
            # Build action_np from motor commands (arm joints are indices 15-28, local indices 0-13)
            action_np = np.zeros(14)
            arm_start_idx = G1_29_JointArmIndex.kLeftShoulderPitch.value  # 15
            for joint in G1_29_JointArmIndex:
                local_idx = joint.value - arm_start_idx
                action_np[local_idx] = self.msg.motor_cmd[joint.value].q
            tau = self.arm_ik.solve_tau(action_np)
            # Apply tau back to motor commands
            for joint in G1_29_JointArmIndex:
                local_idx = joint.value - arm_start_idx
                self.msg.motor_cmd[joint.value].tau = tau[local_idx]
        self.msg.crc = self.crc.Crc(self.msg)
        self.lowcmd_publisher.Write(self.msg)
        return action
    def get_gravity_orientation(self, quaternion):  # get gravity orientation from quaternion
        """Get gravity orientation from quaternion."""
        qw = quaternion[0]
        qx = quaternion[1]
        qy = quaternion[2]
        qz = quaternion[3]
        gravity_orientation = np.zeros(3)
        gravity_orientation[0] = 2 * (-qz * qx + qw * qy)
        gravity_orientation[1] = -2 * (qz * qy + qw * qx)
        gravity_orientation[2] = 1 - 2 * (qw * qw + qz * qz)
        return gravity_orientation
    def reset(
        self,
        control_dt: float | None = None,
@@ -407,15 +529,9 @@ class UnitreeG1(Robot):
        if self.config.is_simulation and self.sim_env is not None:
            self.sim_env.reset()
-
+            self.publish_lowcmd(
-            for motor in G1_29_JointIndex:
+                {f"{motor.name}.q": float(default_positions[motor.value]) for motor in G1_29_JointIndex}
-                self.msg.motor_cmd[motor.value].q = default_positions[motor.value]
+            )
                self.msg.motor_cmd[motor.value].qd = 0
                self.msg.motor_cmd[motor.value].kp = self.kp[motor.value]
                self.msg.motor_cmd[motor.value].kd = self.kd[motor.value]
                self.msg.motor_cmd[motor.value].tau = 0
            self.msg.crc = self.crc.Crc(self.msg)
            self.lowcmd_publisher.Write(self.msg)
        else:
            total_time = 3.0
            num_steps = int(total_time / control_dt)
@@ -446,4 +562,8 @@ class UnitreeG1(Robot):
                sleep_time = max(0, control_dt - elapsed)
                time.sleep(sleep_time)
        # Reset controller internal state (gait phase, obs history, etc.)
        if self.controller is not None and hasattr(self.controller, "reset"):
            self.controller.reset()
        logger.info("Reached default position")
--- a/src/lerobot/robots/unitree_g1/unitree_sdk2_socket.py
+++ b/src/lerobot/robots/unitree_g1/unitree_sdk2_socket.py
@@ -22,6 +22,8 @@ import zmq
 from lerobot.robots.unitree_g1.config_unitree_g1 import UnitreeG1Config
 # Module-level ZMQ state mirrors the Unitree SDK's global ChannelFactory Singleton.
 # Only one robot connection per process is supported.
 _ctx: zmq.Context | None = None
 _lowcmd_sock: zmq.Socket | None = None
 _lowstate_sock: zmq.Socket | None = None
@@ -97,17 +99,22 @@ def lowcmd_to_dict(topic: str, msg: Any) -> dict[str, Any]:
    }
-def ChannelFactoryInitialize(*args: Any, **kwargs: Any) -> None:  # noqa: N802
+def ChannelFactoryInitialize(domain_id: int = 0, config: Any = None) -> None:  # noqa: N802
    """
    Initialize ZMQ sockets for robot communication.
    This function mimics the Unitree SDK's ChannelFactoryInitialize but uses
    ZMQ sockets to connect to the robot server bridge instead of DDS.
    Args:
        domain_id: Ignored (for API compatibility with Unitree SDK)
        config: UnitreeG1Config instance with robot_ip
    """
    global _ctx, _lowcmd_sock, _lowstate_sock
    # read socket config
-    config = UnitreeG1Config()
+    if config is None:
        config = UnitreeG1Config()
    robot_ip = config.robot_ip
    ctx = zmq.Context.instance()
--- a/src/lerobot/scripts/lerobot_record.py
+++ b/src/lerobot/scripts/lerobot_record.py
@@ -369,6 +369,8 @@ def record_loop(
            act_processed_policy: RobotAction = make_robot_action(action_values, dataset.features)
        elif policy is None and isinstance(teleop, Teleoperator):
            if robot.name == "unitree_g1":
                teleop.send_feedback(obs)
            act = teleop.get_action()
            # Applies a pipeline to the raw teleop action, default is IdentityProcessor
@@ -556,10 +558,6 @@ def record(cfg: RecordConfig) -> LeRobotDataset:
                ):
                    log_say("Reset the environment", cfg.play_sounds)
                    # reset g1 robot
                    if robot.name == "unitree_g1":
                        robot.reset()
                    record_loop(
                        robot=robot,
                        events=events,
--- a/src/lerobot/scripts/lerobot_teleoperate.py
+++ b/src/lerobot/scripts/lerobot_teleoperate.py
@@ -60,6 +60,7 @@ import rerun as rr
 from lerobot.cameras.opencv.configuration_opencv import OpenCVCameraConfig  # noqa: F401
 from lerobot.cameras.realsense.configuration_realsense import RealSenseCameraConfig  # noqa: F401
 from lerobot.cameras.zmq.configuration_zmq import ZMQCameraConfig  # noqa: F401
 from lerobot.configs import parser
 from lerobot.processor import (
    RobotAction,
@@ -153,7 +154,6 @@ def teleop_loop(
    display_len = max(len(key) for key in robot.action_features)
    start = time.perf_counter()
    while True:
        loop_start = time.perf_counter()
@@ -163,6 +163,9 @@ def teleop_loop(
        # given that it is the identity processor as default
        obs = robot.get_observation()
        if robot.name == "unitree_g1":
            teleop.send_feedback(obs)
        # Get teleop action
        raw_action = teleop.get_action()
--- a/src/lerobot/scripts/lerobot_train.py
+++ b/src/lerobot/scripts/lerobot_train.py
@@ -209,7 +209,11 @@ def train(cfg: TrainPipelineConfig, accelerator: Accelerator | None = None):
    # Use accelerator's device
    device = accelerator.device
-    torch.backends.cudnn.benchmark = True
+    if cfg.cudnn_deterministic:
        torch.backends.cudnn.deterministic = True
        torch.backends.cudnn.benchmark = False
    else:
        torch.backends.cudnn.benchmark = True
    torch.backends.cuda.matmul.allow_tf32 = True
    # Dataset loading synchronization: main process downloads first to avoid race conditions
--- a/src/lerobot/teleoperators/unitree_g1/init.py
+++ b/src/lerobot/teleoperators/unitree_g1/init.py
@@ -19,3 +19,13 @@ from .exo_calib import ExoskeletonCalibration, ExoskeletonJointCalibration
 from .exo_ik import ExoskeletonIKHelper
 from .exo_serial import ExoskeletonArm
 from .unitree_g1 import UnitreeG1Teleoperator
 __all__ = [
    "ExoskeletonArmPortConfig",
    "ExoskeletonCalibration",
    "ExoskeletonIKHelper",
    "ExoskeletonJointCalibration",
    "ExoskeletonArm",
    "UnitreeG1Teleoperator",
    "UnitreeG1TeleoperatorConfig",
 ]
--- a/src/lerobot/teleoperators/unitree_g1/exo_calib.py
+++ b/src/lerobot/teleoperators/unitree_g1/exo_calib.py
@@ -35,6 +35,9 @@ import serial
 logger = logging.getLogger(__name__)
 ADC_MAX = 2**12 - 1
 ADC_HALF = ADC_MAX / 2
 # exoskeleton joint names -> ADC channel pairs. TODO: add wrist pitch and wrist yaw
 JOINTS = {
    "shoulder_pitch": (0, 1),
@@ -59,7 +62,7 @@ class ExoskeletonCalibration:
    version: int = 2
    side: str = ""
-    adc_max: int = 2**12 - 1
+    adc_max: int = ADC_MAX
    joints: list[ExoskeletonJointCalibration] = field(default_factory=list)
    def to_dict(self) -> dict:
@@ -92,7 +95,7 @@ class ExoskeletonCalibration:
        return cls(
            version=data.get("version", 2),
            side=data.get("side", ""),
-            adc_max=data.get("adc_max", 2**12 - 1),
+            adc_max=data.get("adc_max", ADC_MAX),
            joints=joints,
        )
@@ -112,11 +115,8 @@ class CalibParams:
 def normalize_angle(angle: float) -> float:
-    while angle > np.pi:
+    """Normalize angle to [-pi, pi]."""
-        angle -= 2 * np.pi
+    return float(np.arctan2(np.sin(angle), np.cos(angle)))
    while angle < -np.pi:
        angle += 2 * np.pi
    return angle
 def joint_z_and_angle(raw16: list[int], j: ExoskeletonJointCalibration) -> tuple[np.ndarray, float]:
@@ -125,7 +125,7 @@ def joint_z_and_angle(raw16: list[int], j: ExoskeletonJointCalibration) -> tuple
    """
    pair = JOINTS[j.name]
    s, c = raw16[pair[0]], raw16[pair[1]]  # get sin and cos
-    p = np.array([float(c) - (2**12 - 1) / 2, float(s) - (2**12 - 1) / 2])  # center the raw values
+    p = np.array([float(c) - ADC_HALF, float(s) - ADC_HALF])  # center the raw values
    z = np.asarray(j.T) @ (
        p - np.asarray(j.center_fit)
    )  # center the ellipse and invert the transformation matrix to get unit circle coords
@@ -167,7 +167,7 @@ def run_exo_calibration(
    def read_joint_point(raw16: list[int], pair: tuple[int, int]):
        s, c = raw16[pair[0]], raw16[pair[1]]
-        return float(c) - (2**12 - 1) / 2, float(s) - (2**12 - 1) / 2, float(s), float(c)
+        return float(c) - ADC_HALF, float(s) - ADC_HALF, float(s), float(c)
    def select_fit_subset(xs, ys):
        """Select and filter points for ellipse fitting. Trims outliers by radius and downsamples."""
@@ -317,7 +317,7 @@ def run_exo_calibration(
                        calib = ExoskeletonCalibration(
                            version=2,
                            side=side,
-                            adc_max=2**12 - 1,
+                            adc_max=ADC_MAX,
                            joints=[
                                ExoskeletonJointCalibration(
                                    name=j["name"],
@@ -367,8 +367,8 @@ def run_exo_calibration(
                    state["win_s"].append(s_raw)
                    state["win_c"].append(c_raw)
                    if len(state["win_s"]) >= max(3, params.median_window):
-                        state["ys"].append(running_median(state["win_s"]) - (2**12 - 1) / 2)
+                        state["ys"].append(running_median(state["win_s"]) - ADC_HALF)
-                        state["xs"].append(running_median(state["win_c"]) - (2**12 - 1) / 2)
+                        state["xs"].append(running_median(state["win_c"]) - ADC_HALF)
                else:
                    jdata = joints_out[-1]
                    z = np.array(jdata["T"]) @ (np.array([x_raw, y_raw]) - np.array(jdata["center_fit"]))
--- a/src/lerobot/teleoperators/unitree_g1/exo_ik.py
+++ b/src/lerobot/teleoperators/unitree_g1/exo_ik.py
@@ -25,8 +25,8 @@ from dataclasses import dataclass
 import numpy as np
 from lerobot.robots.unitree_g1.g1_kinematics import G1_29_ArmIK
 from lerobot.robots.unitree_g1.g1_utils import G1_29_JointArmIndex
 from lerobot.robots.unitree_g1.robot_kinematic_processor import G1_29_ArmIK
 from .exo_calib import JOINTS
--- a/src/lerobot/teleoperators/unitree_g1/exo_serial.py
+++ b/src/lerobot/teleoperators/unitree_g1/exo_serial.py
@@ -32,25 +32,29 @@ def parse_raw16(line: bytes) -> list[int] | None:
        if len(parts) < 16:
            return None
        return [int(x) for x in parts[:16]]
-    except Exception:
+    except (ValueError, IndexError):
        return None
 def read_raw_from_serial(ser) -> list[int] | None:
    """Read latest sample from serial; if buffer is backed up, keep only the newest."""
-    last = None
+    try:
-    while ser.in_waiting > 0:
+        last = None
-        b = ser.readline()
+        while ser.in_waiting > 0:
-        if not b:
+            b = ser.readline()
-            break
+            if not b:
-        raw16 = parse_raw16(b)
+                break
-        if raw16 is not None:
+            raw16 = parse_raw16(b)
-            last = raw16
+            if raw16 is not None:
-    if last is None:
+                last = raw16
-        b = ser.readline()
+        if last is None:
-        if b:
+            b = ser.readline()
-            last = parse_raw16(b)
+            if b:
-    return last
+                last = parse_raw16(b)
        return last
    except serial.SerialException as e:
        logger.warning(f"Serial read error: {e}")
        return None
@dataclass
@@ -115,5 +119,6 @@ class ExoskeletonArm:
        return {} if raw is None else exo_raw_to_angles(raw, self.calibration)
    def calibrate(self) -> None:
-        ser = self._ser
+        if not self.is_connected:
-        self.calibration = run_exo_calibration(ser, self.side, self.calibration_fpath)
+            raise RuntimeError("Cannot calibrate: exoskeleton not connected")
        self.calibration = run_exo_calibration(self._ser, self.side, self.calibration_fpath)
--- a/src/lerobot/teleoperators/unitree_g1/unitree_g1.py
+++ b/src/lerobot/teleoperators/unitree_g1/unitree_g1.py
@@ -17,9 +17,22 @@
 import logging
 import time
 from functools import cached_property
 from typing import TYPE_CHECKING, Any
-from lerobot.robots.unitree_g1.g1_utils import G1_29_JointIndex
+from lerobot.robots.unitree_g1.g1_utils import REMOTE_AXES, G1_29_JointArmIndex
 from lerobot.utils.constants import HF_LEROBOT_CALIBRATION, TELEOPERATORS
 from lerobot.utils.import_utils import _unitree_sdk_available
 if TYPE_CHECKING or _unitree_sdk_available:
    from unitree_sdk2py.utils.joystick import Joystick
 else:
    class Joystick:
        def __init__(self):
            raise ImportError(
                "unitree_sdk2py is required for RemoteController. Install with: pip install unitree_sdk2py"
            )
 from ..teleoperator import Teleoperator
 from .config_unitree_g1 import UnitreeG1TeleoperatorConfig
@@ -29,6 +42,120 @@ from .exo_serial import ExoskeletonArm
 logger = logging.getLogger(__name__)
 class RemoteController:
    """Unitree remote controller data parser for joystick and button state."""
    # ADC parameters for exoskeleton joystick (12-bit ADC)
    ADC_MAX = 4095
    ADC_HALF = ADC_MAX / 2
    JOYSTICK_X_IDX = 11  # X axis in raw ADC array
    JOYSTICK_BTN_IDX = 12  # Button in raw ADC array
    JOYSTICK_Y_IDX = 13  # Y axis in raw ADC array
    # Map SDK named buttons to positional indices matching the wireless_remote
    # byte layout (little-endian uint16 from bytes 2-3).
    _BUTTON_MAP: list[str] = [
        "RB",
        "LB",
        "start",
        "back",
        "RT",
        "LT",
        "",
        "",
        "A",
        "B",
        "X",
        "Y",
        "up",
        "right",
        "down",
        "left",
    ]
    def __init__(self):
        self.lx = 0.0
        self.ly = 0.0
        self.rx = 0.0
        self.ry = 0.0
        self.button = [0] * 16
        self.remote_action = dict.fromkeys(REMOTE_AXES, 0.0)
        # SDK joystick parser for wireless remote bytes
        self._joystick = Joystick()
        # Disable axis smoothing and deadzone to preserve raw values
        for axis in (self._joystick.lx, self._joystick.ly, self._joystick.rx, self._joystick.ry):
            axis.smooth = 1.0
            axis.deadzone = 0.0
        # Joystick center calibration (read at connect time)
        self.left_center_x = self.ADC_HALF
        self.left_center_y = self.ADC_HALF
        self.right_center_x = self.ADC_HALF
        self.right_center_y = self.ADC_HALF
        # Whether to use exo joystick (detected at connect time)
        self.use_left_exo_joystick = False
        self.use_right_exo_joystick = False
    def _sync_remote_action(self) -> None:
        self.remote_action.update(zip(REMOTE_AXES, (self.lx, self.ly, self.rx, self.ry), strict=True))
    def calibrate_center(self, raw16: list[int] | None, side: str) -> None:
        if raw16 is None or len(raw16) < 16:
            logger.info(f"{side.capitalize()} exo joystick: no data available")
            return
        btn_val = raw16[self.JOYSTICK_BTN_IDX]
        logger.info(f"{side.capitalize()} exo joystick button ADC: {btn_val} (threshold: {self.ADC_HALF})")
        if btn_val <= self.ADC_HALF:
            logger.info(f"{side.capitalize()} exo joystick not detected (button below threshold)")
            return
        x = raw16[self.JOYSTICK_X_IDX]
        y = raw16[self.JOYSTICK_Y_IDX]
        if side == "left":
            self.use_left_exo_joystick = True
            self.left_center_x, self.left_center_y = x, y
        else:
            self.use_right_exo_joystick = True
            self.right_center_x, self.right_center_y = x, y
        logger.info(f"{side.capitalize()} exo joystick enabled, center: x={x}, y={y}")
    def set_from_exo(self, raw16: list[int] | None, side: str) -> None:
        if raw16 is None or len(raw16) < 16:
            return
        if side == "left":
            if not self.use_left_exo_joystick:
                return
            self.lx = (raw16[self.JOYSTICK_X_IDX] - self.left_center_x) / self.ADC_HALF
            self.ly = (raw16[self.JOYSTICK_Y_IDX] - self.left_center_y) / self.ADC_HALF
            self.button[4] = 1 if raw16[self.JOYSTICK_BTN_IDX] < self.ADC_HALF else 0
            return
        if not self.use_right_exo_joystick:
            return
        self.rx = (raw16[self.JOYSTICK_X_IDX] - self.right_center_x) / self.ADC_HALF
        self.ry = (raw16[self.JOYSTICK_Y_IDX] - self.right_center_y) / self.ADC_HALF
        self.button[0] = 1 if raw16[self.JOYSTICK_BTN_IDX] < self.ADC_HALF else 0
    def set_from_wireless(self, wireless_remote: bytes) -> None:
        """Parse Unitree wireless remote raw bytes into joystick + button state."""
        if len(wireless_remote) < 24:
            return
        self._joystick.extract(wireless_remote)
        self.lx = self._joystick.lx.data
        self.ly = self._joystick.ly.data
        self.rx = self._joystick.rx.data
        self.ry = self._joystick.ry.data
        for i, name in enumerate(self._BUTTON_MAP):
            if name:
                self.button[i] = getattr(self._joystick, name).data
 class UnitreeG1Teleoperator(Teleoperator):
    """
    Bimanual exoskeleton arms teleoperator for Unitree G1 arms.
@@ -43,6 +170,13 @@ class UnitreeG1Teleoperator(Teleoperator):
    def __init__(self, config: UnitreeG1TeleoperatorConfig):
        super().__init__(config)
        self.config = config
        left_exo_enabled = bool(config.left_arm_config.port.strip())
        right_exo_enabled = bool(config.right_arm_config.port.strip())
        if left_exo_enabled != right_exo_enabled:
            raise ValueError(
                "Invalid exo config: set both left/right exo ports, or leave both empty for remote-only mode."
            )
        self._arm_control_enabled = left_exo_enabled and right_exo_enabled
        # Setup calibration directory
        self.calibration_dir = (
@@ -70,24 +204,37 @@ class UnitreeG1Teleoperator(Teleoperator):
        )
        self.ik_helper: ExoskeletonIKHelper | None = None
        self.remote_controller = RemoteController()
    @cached_property
    def action_features(self) -> dict[str, type]:
-        return {f"{name}.q": float for name in self._g1_joint_names}
+        remote_features = dict.fromkeys(self.remote_controller.remote_action, float)
        if not self._arm_control_enabled:
            return remote_features
        joint_features = {f"{name}.q": float for name in self._g1_arm_joint_names}
        return {**joint_features, **remote_features}
    @cached_property
    def feedback_features(self) -> dict[str, type]:
-        return {}
+        return {"wireless_remote": bytes}
    @property
    def is_connected(self) -> bool:
        if not self._arm_control_enabled:
            return True
        return self.left_arm.is_connected and self.right_arm.is_connected
    @property
    def is_calibrated(self) -> bool:
        if not self._arm_control_enabled:
            return True
        return self.left_arm.is_calibrated and self.right_arm.is_calibrated
    def connect(self, calibrate: bool = True) -> None:
        if not self._arm_control_enabled:
            logger.warning("Exo ports not fully configured; teleop will send joystick only (no arm actions)")
            return
        self.left_arm.connect(calibrate)
        self.right_arm.connect(calibrate)
@@ -95,6 +242,13 @@ class UnitreeG1Teleoperator(Teleoperator):
        self.ik_helper = ExoskeletonIKHelper(frozen_joints=frozen_joints)
        logger.info("IK helper initialized")
        time.sleep(0.1)  # Give serial time to populate buffer
        left_raw = self.left_arm.read_raw()
        right_raw = self.right_arm.read_raw()
        self.remote_controller.calibrate_center(left_raw, "left")
        self.remote_controller.calibrate_center(right_raw, "right")
    def calibrate(self) -> None:
        if not self.left_arm.is_calibrated:
            logger.info("Starting calibration for left arm...")
@@ -115,12 +269,33 @@ class UnitreeG1Teleoperator(Teleoperator):
        pass
    def get_action(self) -> dict[str, float]:
-        left_angles = self.left_arm.get_angles()
+        joint_action = {}
-        right_angles = self.right_arm.get_angles()
+        left_raw = None
-        return self.ik_helper.compute_g1_joints_from_exo(left_angles, right_angles)
+        right_raw = None
        if self._arm_control_enabled:
            left_raw = self.left_arm.read_raw()
            right_raw = self.right_arm.read_raw()
-    def send_feedback(self, feedback: dict[str, float]) -> None:
+            left_angles = self.left_arm.get_angles()
-        raise NotImplementedError("Exoskeleton arms do not support feedback")
+            right_angles = self.right_arm.get_angles()
            joint_action = self.ik_helper.compute_g1_joints_from_exo(left_angles, right_angles)
        # Wireless remote has priority when non-zero; otherwise, use exo joystick.
        rc = self.remote_controller
        wireless_active = (
            abs(rc.lx) > 1e-3 or abs(rc.ly) > 1e-3 or abs(rc.rx) > 1e-3 or abs(rc.ry) > 1e-3
        ) or any(rc.button)
        if self._arm_control_enabled and not wireless_active:
            rc.set_from_exo(left_raw, "left")
            rc.set_from_exo(right_raw, "right")
        rc._sync_remote_action()
        return {**joint_action, **rc.remote_action}
    def send_feedback(self, feedback: dict[str, Any]) -> None:
        wireless_remote = feedback.get("wireless_remote")
        if wireless_remote is not None:
            self.remote_controller.set_from_wireless(wireless_remote)
    def disconnect(self) -> None:
        self.left_arm.disconnect()
@@ -153,5 +328,5 @@ class UnitreeG1Teleoperator(Teleoperator):
            print("\n\nVisualization stopped.")
    @cached_property
-    def _g1_joint_names(self) -> list[str]:
+    def _g1_arm_joint_names(self) -> list[str]:
-        return [joint.name for joint in G1_29_JointIndex]
+        return [joint.name for joint in G1_29_JointArmIndex]
--- a/src/lerobot/utils/import_utils.py
+++ b/src/lerobot/utils/import_utils.py
@@ -74,6 +74,8 @@ _peft_available = is_package_available("peft")
 _scipy_available = is_package_available("scipy")
 _reachy2_sdk_available = is_package_available("reachy2_sdk")
 _can_available = is_package_available("python-can", "can")
 _unitree_sdk_available = is_package_available("unitree-sdk2", "unitree_sdk2py")
 _pygame_available = is_package_available("pygame")
 def make_device_from_device_class(config: ChoiceRegistry) -> Any:
--- a/tests/async_inference/test_robot_client.py
+++ b/tests/async_inference/test_robot_client.py
@@ -231,3 +231,39 @@ def test_ready_to_send_observation_with_varying_threshold(robot_client, g_thresh
        robot_client.action_queue.put(act)
    assert robot_client._ready_to_send_observation() is expected
 # -----------------------------------------------------------------------------
 # Regression test: robot type registry populated by robot_client imports
 # -----------------------------------------------------------------------------
 def test_robot_client_registers_builtin_robot_types():
    """Importing robot_client must populate RobotConfig's ChoiceRegistry.
    This is a regression test for a bug introduced in #2425, where removing
    robot module imports from robot_client.py caused RobotConfig's registry to
    be empty, breaking CLI argument parsing with:
      error: argument --robot.type: invalid choice: 'so101_follower' (choose from )
    Robot types are registered via @RobotConfig.register_subclass() decorators
    at import time, so all supported modules must be explicitly imported.
    """
    import lerobot.async_inference.robot_client  # noqa: F401
    from lerobot.robots.config import RobotConfig
    known_choices = RobotConfig.get_known_choices()
    expected_robot_types = [
        "so100_follower",
        "so101_follower",
        "koch_follower",
        "omx_follower",
        "bi_so_follower",
    ]
    for robot_type in expected_robot_types:
        assert robot_type in known_choices, (
            f"Robot type '{robot_type}' is not registered in RobotConfig's ChoiceRegistry. "
            f"Ensure the corresponding module is imported in robot_client.py. "
            f"Known choices: {sorted(known_choices)}"
        )
--- a/tests/cameras/test_opencv.py
+++ b/tests/cameras/test_opencv.py
@@ -170,6 +170,7 @@ def test_async_read(index_or_path):
        assert isinstance(img, np.ndarray)
@pytest.mark.skip("Skipping test: async_read  0 timeout behavior may be flaky/non-deterministic.")
 def test_async_read_timeout():
    config = OpenCVCameraConfig(index_or_path=DEFAULT_PNG_FILE_PATH, warmup_s=0)
--- a/tests/robots/test_unitree_g1.py
+++ b/tests/robots/test_unitree_g1.py
@@ -0,0 +1,267 @@
 #!/usr/bin/env python
 # Copyright 2026 The HuggingFace Inc. team. All rights reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
 #
 #     http://www.apache.org/licenses/LICENSE-2.0
 #
 # Unless required by applicable law or agreed to in writing, software
 # distributed under the License is distributed on an "AS IS" BASIS,
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Tests for Unitree G1 robot. Meant to be run in an environment where the Unitree SDK is installed."""
 from unittest.mock import MagicMock, patch
 import numpy as np
 import pytest
 from lerobot.utils.import_utils import _unitree_sdk_available
 if not _unitree_sdk_available:
    pytest.skip("Unitree SDK not available", allow_module_level=True)
 from lerobot.robots.unitree_g1.config_unitree_g1 import UnitreeG1Config
 from lerobot.robots.unitree_g1.g1_utils import (
    NUM_MOTORS,
    REMOTE_AXES,
    REMOTE_BUTTONS,
    REMOTE_KEYS,
    G1_29_JointArmIndex,
    G1_29_JointIndex,
    default_remote_input,
    get_gravity_orientation,
 )
 # ---------------------------------------------------------------------------
 # Unit tests for g1_utils (no SDK needed)
 # ---------------------------------------------------------------------------
 class TestG1Utils:
    def test_num_motors(self):
        assert NUM_MOTORS == 29
    def test_joint_index_count(self):
        assert len(G1_29_JointIndex) == 29
    def test_joint_arm_index_count(self):
        assert len(G1_29_JointArmIndex) == 14
    def test_arm_indices_are_subset_of_full(self):
        full_values = {j.value for j in G1_29_JointIndex}
        arm_values = {j.value for j in G1_29_JointArmIndex}
        assert arm_values.issubset(full_values)
    def test_arm_indices_start_at_15(self):
        assert min(j.value for j in G1_29_JointArmIndex) == 15
        assert max(j.value for j in G1_29_JointArmIndex) == 28
    def test_enum_naming_consistency(self):
        """Verify all wrist joints use consistent PascalCase naming."""
        wrist_joints = [j for j in G1_29_JointIndex if "Wrist" in j.name]
        for j in wrist_joints:
            # Should be "WristYaw", "WristPitch", "WristRoll" — no lowercase after "Wrist"
            after_wrist = j.name.split("Wrist")[1]
            assert after_wrist[0].isupper(), f"{j.name} has inconsistent casing after 'Wrist'"
    def test_remote_keys_structure(self):
        assert len(REMOTE_AXES) == 4
        assert len(REMOTE_BUTTONS) == 16
        assert len(REMOTE_KEYS) == 20
        assert REMOTE_KEYS == REMOTE_AXES + REMOTE_BUTTONS
    def test_default_remote_input(self):
        d = default_remote_input()
        assert len(d) == 20
        assert all(v == 0.0 for v in d.values())
        assert set(d.keys()) == set(REMOTE_KEYS)
    def test_gravity_orientation_identity(self):
        """Quaternion [1, 0, 0, 0] (no rotation) should give gravity along -z."""
        g = get_gravity_orientation([1.0, 0.0, 0.0, 0.0])
        assert g.shape == (3,)
        assert g.dtype == np.float32
        np.testing.assert_allclose(g, [0.0, 0.0, -1.0], atol=1e-6)
    def test_gravity_orientation_dtype(self):
        g = get_gravity_orientation(np.array([1.0, 0.0, 0.0, 0.0]))
        assert g.dtype == np.float32
 # ---------------------------------------------------------------------------
 # Unit tests for UnitreeG1Config (no SDK needed)
 # ---------------------------------------------------------------------------
 class TestUnitreeG1Config:
    def test_default_config(self):
        cfg = UnitreeG1Config()
        assert len(cfg.kp) == 29
        assert len(cfg.kd) == 29
        assert len(cfg.default_positions) == 29
        assert cfg.is_simulation is True
        assert cfg.controller is None
        assert cfg.gravity_compensation is False
    def test_gains_are_positive(self):
        cfg = UnitreeG1Config()
        assert all(v > 0 for v in cfg.kp)
        assert all(v > 0 for v in cfg.kd)
    def test_config_copies_gains(self):
        """Each config instance should have its own copy of gains."""
        cfg1 = UnitreeG1Config()
        cfg2 = UnitreeG1Config()
        cfg1.kp[0] = 999.0
        assert cfg2.kp[0] != 999.0
 # ---------------------------------------------------------------------------
 # Robot mock and integration tests
 # ---------------------------------------------------------------------------
 def _make_lowstate_msg_mock():
    """Create a mock that mimics the SDK LowState_ message."""
    msg = MagicMock()
    for i in range(29):
        motor = MagicMock()
        motor.q = float(i) * 0.1
        motor.dq = float(i) * 0.01
        motor.tau_est = float(i) * 0.001
        motor.temperature = 30.0 + i
        msg.motor_state.__getitem__ = lambda self, idx, _motors={}: _motors.setdefault(
            idx, MagicMock(q=idx * 0.1, dq=idx * 0.01, tau_est=idx * 0.001, temperature=30.0 + idx)
        )
    msg.imu_state.quaternion = [1.0, 0.0, 0.0, 0.0]
    msg.imu_state.gyroscope = [0.1, 0.2, 0.3]
    msg.imu_state.accelerometer = [0.0, 0.0, 9.81]
    msg.imu_state.rpy = [0.0, 0.0, 0.0]
    msg.imu_state.temperature = 25.0
    msg.wireless_remote = b"\x00" * 40
    msg.mode_machine = 0
    return msg
 def _make_sdk_mocks():
    """Create mocks for the Unitree SDK modules used by UnitreeG1."""
    lowcmd_default = MagicMock()
    lowcmd_default.mode_pr = 0
    lowcmd_default.motor_cmd = [MagicMock() for _ in range(35)]
    crc_mock = MagicMock()
    crc_mock.Crc.return_value = 0
    lowstate_msg = _make_lowstate_msg_mock()
    subscriber_mock = MagicMock()
    subscriber_mock.Read.return_value = lowstate_msg
    publisher_mock = MagicMock()
    return {
        "lowcmd_default": lowcmd_default,
        "crc_mock": crc_mock,
        "subscriber_mock": subscriber_mock,
        "publisher_mock": publisher_mock,
        "lowstate_msg": lowstate_msg,
    }
@pytest.fixture
 def unitree_g1():
    """Create a UnitreeG1 robot with all SDK dependencies mocked."""
    mocks = _make_sdk_mocks()
    mock_channel_init = MagicMock()
    mock_channel_pub = MagicMock(return_value=mocks["publisher_mock"])
    mock_channel_sub = MagicMock(return_value=mocks["subscriber_mock"])
    with (
        patch(
            "lerobot.robots.unitree_g1.unitree_g1.make_cameras_from_configs",
            return_value={},
        ),
        patch(
            "lerobot.robots.unitree_g1.unitree_g1.G1_29_ArmIK",
            return_value=MagicMock(),
        ),
        patch(
            "lerobot.robots.unitree_g1.unitree_g1._SDKChannelFactoryInitialize",
            mock_channel_init,
        ),
        patch(
            "lerobot.robots.unitree_g1.unitree_g1._SDKChannelPublisher",
            mock_channel_pub,
        ),
        patch(
            "lerobot.robots.unitree_g1.unitree_g1._SDKChannelSubscriber",
            mock_channel_sub,
        ),
        patch(
            "lerobot.robots.unitree_g1.unitree_g1.unitree_hg_msg_dds__LowCmd_",
            MagicMock(return_value=mocks["lowcmd_default"]),
        ),
        patch(
            "lerobot.robots.unitree_g1.unitree_g1.hg_LowCmd",
            MagicMock,
        ),
        patch(
            "lerobot.robots.unitree_g1.unitree_g1.hg_LowState",
            MagicMock,
        ),
        patch(
            "lerobot.robots.unitree_g1.unitree_g1.CRC",
            MagicMock(return_value=mocks["crc_mock"]),
        ),
    ):
        from lerobot.robots.unitree_g1.unitree_g1 import UnitreeG1
        cfg = UnitreeG1Config(is_simulation=True, gravity_compensation=False)
        robot = UnitreeG1(cfg)
        yield robot, mocks
        if robot.is_connected:
            robot.disconnect()
 def test_init_state(unitree_g1):
    robot, _ = unitree_g1
    assert not robot.is_connected
    assert robot.controller is None
 def test_observation_features(unitree_g1):
    robot, _ = unitree_g1
    features = robot.observation_features
    # Should have .q for all 29 joints (no cameras configured)
    assert len(features) == 29
    for joint in G1_29_JointIndex:
        assert f"{joint.name}.q" in features
 def test_action_features_no_controller(unitree_g1):
    robot, _ = unitree_g1
    features = robot.action_features
    # Without controller: all 29 joints
    assert len(features) == 29
    for joint in G1_29_JointIndex:
        assert f"{joint.name}.q" in features
 def test_get_observation_before_connect(unitree_g1):
    robot, _ = unitree_g1
    obs = robot.get_observation()
    assert obs == {}
 def test_disconnect_idempotent(unitree_g1):
    robot, _ = unitree_g1
    # Should not raise even when not connected
    robot.disconnect()
--- a/tests/teleoperators/test_unitree_g1_teleoperator.py
+++ b/tests/teleoperators/test_unitree_g1_teleoperator.py
@@ -0,0 +1,309 @@
 #!/usr/bin/env python
 # Copyright 2026 The HuggingFace Inc. team. All rights reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
 #
 #     http://www.apache.org/licenses/LICENSE-2.0
 #
 # Unless required by applicable law or agreed to in writing, software
 # distributed under the License is distributed on an "AS IS" BASIS,
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Tests for Unitree G1 teleoperator. Meant to be run in an environment where the Unitree SDK is installed."""
 from unittest.mock import MagicMock
 import pytest
 from lerobot.utils.import_utils import _unitree_sdk_available
 if not _unitree_sdk_available:
    pytest.skip("Unitree SDK not available", allow_module_level=True)
 from lerobot.robots.unitree_g1.g1_utils import REMOTE_AXES
 from lerobot.teleoperators.unitree_g1.config_unitree_g1 import (
    ExoskeletonArmPortConfig,
    UnitreeG1TeleoperatorConfig,
 )
 from lerobot.teleoperators.unitree_g1.unitree_g1 import RemoteController, UnitreeG1Teleoperator
 # ---------------------------------------------------------------------------
 # Tests for RemoteController
 # ---------------------------------------------------------------------------
 def _make_joystick_mock():
    """Create a mock Joystick class matching the SDK interface."""
    joystick = MagicMock()
    # Axes are Axis objects with .data attribute
    joystick.lx = MagicMock(data=0.0, smooth=0.03, deadzone=0.01)
    joystick.ly = MagicMock(data=0.0, smooth=0.03, deadzone=0.01)
    joystick.rx = MagicMock(data=0.0, smooth=0.03, deadzone=0.01)
    joystick.ry = MagicMock(data=0.0, smooth=0.03, deadzone=0.01)
    # Buttons are Button objects with .data attribute
    for name in ["RB", "LB", "start", "back", "RT", "LT", "A", "B", "X", "Y", "up", "right", "down", "left"]:
        setattr(joystick, name, MagicMock(data=0))
    return joystick
@pytest.fixture
 def remote_controller():
    """Create a RemoteController with a mocked Joystick."""
    mock_joystick = _make_joystick_mock()
    rc = RemoteController()
    rc._joystick = mock_joystick
    yield rc, mock_joystick
 def test_remote_controller_init(remote_controller):
    rc, _ = remote_controller
    assert rc.lx == 0.0
    assert rc.ly == 0.0
    assert rc.rx == 0.0
    assert rc.ry == 0.0
    assert len(rc.button) == 16
    assert all(b == 0 for b in rc.button)
 def test_sync_remote_action(remote_controller):
    rc, _ = remote_controller
    rc.lx = 0.5
    rc.ly = -0.3
    rc.rx = 0.1
    rc.ry = 0.0
    rc._sync_remote_action()
    assert rc.remote_action["remote.lx"] == 0.5
    assert rc.remote_action["remote.ly"] == -0.3
    assert rc.remote_action["remote.rx"] == 0.1
    assert rc.remote_action["remote.ry"] == 0.0
 def test_set_from_wireless_calls_extract(remote_controller):
    rc, mock_joystick = remote_controller
    # Set up the mock to populate data after extract
    mock_joystick.lx.data = 0.5
    mock_joystick.ly.data = -0.3
    mock_joystick.rx.data = 0.1
    mock_joystick.ry.data = 0.0
    wireless_data = b"\x00" * 40
    rc.set_from_wireless(wireless_data)
    mock_joystick.extract.assert_called_once_with(wireless_data)
    assert rc.lx == 0.5
    assert rc.ly == -0.3
 def test_set_from_wireless_short_data(remote_controller):
    rc, mock_joystick = remote_controller
    rc.set_from_wireless(b"\x00" * 10)  # Too short
    mock_joystick.extract.assert_not_called()
 def test_set_from_wireless_buttons(remote_controller):
    rc, mock_joystick = remote_controller
    # Simulate RB pressed
    mock_joystick.RB.data = 1
    mock_joystick.lx.data = 0.0
    mock_joystick.ly.data = 0.0
    mock_joystick.rx.data = 0.0
    mock_joystick.ry.data = 0.0
    rc.set_from_wireless(b"\x00" * 40)
    assert rc.button[0] == 1  # RB maps to button[0]
 def test_set_from_exo_left(remote_controller):
    rc, _ = remote_controller
    rc.use_left_exo_joystick = True
    rc.left_center_x = 2048
    rc.left_center_y = 2048
    raw16 = [0] * 16
    raw16[11] = 3048  # X axis: (3048 - 2048) / 2047.5 ≈ 0.488
    raw16[13] = 1048  # Y axis: (1048 - 2048) / 2047.5 ≈ -0.488
    raw16[12] = 0  # Button pressed (below ADC_HALF)
    rc.set_from_exo(raw16, "left")
    assert rc.lx == pytest.approx((3048 - 2048) / 2047.5, abs=1e-3)
    assert rc.ly == pytest.approx((1048 - 2048) / 2047.5, abs=1e-3)
    assert rc.button[4] == 1  # Left button maps to button[4]
 def test_set_from_exo_clears_button(remote_controller):
    rc, _ = remote_controller
    rc.use_left_exo_joystick = True
    rc.button[4] = 1  # Pre-set
    raw16 = [0] * 16
    raw16[12] = 4000  # Button NOT pressed (above ADC_HALF)
    rc.set_from_exo(raw16, "left")
    assert rc.button[4] == 0  # Should be cleared
 def test_set_from_exo_ignored_when_not_enabled(remote_controller):
    rc, _ = remote_controller
    rc.use_left_exo_joystick = False
    raw16 = [0] * 16
    raw16[11] = 3000
    rc.set_from_exo(raw16, "left")
    assert rc.lx == 0.0  # Unchanged
 # ---------------------------------------------------------------------------
 # Tests for UnitreeG1TeleoperatorConfig (no SDK needed)
 # ---------------------------------------------------------------------------
 class TestTeleoperatorConfig:
    def test_default_config(self):
        cfg = UnitreeG1TeleoperatorConfig()
        assert cfg.left_arm_config.port == ""
        assert cfg.right_arm_config.port == ""
        assert cfg.frozen_joints == ""
    def test_config_with_ports(self):
        cfg = UnitreeG1TeleoperatorConfig(
            left_arm_config=ExoskeletonArmPortConfig(port="/dev/ttyACM0"),
            right_arm_config=ExoskeletonArmPortConfig(port="/dev/ttyACM1"),
        )
        assert cfg.left_arm_config.port == "/dev/ttyACM0"
        assert cfg.right_arm_config.port == "/dev/ttyACM1"
 # ---------------------------------------------------------------------------
 # Tests for UnitreeG1Teleoperator
 # ---------------------------------------------------------------------------
@pytest.fixture
 def teleop_remote_only():
    """Create a UnitreeG1Teleoperator in remote-only mode (no exo arms)."""
    cfg = UnitreeG1TeleoperatorConfig()  # No ports = remote-only mode
    teleop = UnitreeG1Teleoperator(cfg)
    yield teleop
 def test_remote_only_connect(teleop_remote_only):
    """Remote-only mode should connect immediately without serial ports."""
    teleop = teleop_remote_only
    teleop.connect()
    assert teleop.is_connected
    assert not teleop._arm_control_enabled
 def test_remote_only_action_features(teleop_remote_only):
    teleop = teleop_remote_only
    features = teleop.action_features
    # Remote-only: just the 4 remote axes
    assert set(features.keys()) == set(REMOTE_AXES)
 def test_feedback_features(teleop_remote_only):
    teleop = teleop_remote_only
    features = teleop.feedback_features
    assert "wireless_remote" in features
    assert features["wireless_remote"] is bytes
 def test_remote_only_get_action(teleop_remote_only):
    teleop = teleop_remote_only
    teleop.connect()
    action = teleop.get_action()
    assert set(action.keys()) == set(REMOTE_AXES)
    assert all(isinstance(v, float) for v in action.values())
 def test_send_feedback(teleop_remote_only):
    teleop = teleop_remote_only
    teleop.connect()
    # Should not raise
    teleop.send_feedback({"wireless_remote": b"\x00" * 40})
 def test_send_feedback_missing_key(teleop_remote_only):
    teleop = teleop_remote_only
    teleop.connect()
    # Should not raise even with missing key
    teleop.send_feedback({"other_key": 42})
 def test_asymmetric_exo_ports_raises():
    """Configuring only one exo port should raise ValueError."""
    cfg = UnitreeG1TeleoperatorConfig(
        left_arm_config=ExoskeletonArmPortConfig(port="/dev/ttyACM0"),
        # right_arm_config left empty
    )
    with pytest.raises(ValueError, match="set both left/right"):
        UnitreeG1Teleoperator(cfg)
 # ---------------------------------------------------------------------------
 # Tests for ExoskeletonArm (needs serial mock)
 # ---------------------------------------------------------------------------
 class TestExoskeletonArm:
    def test_parse_raw16_valid(self):
        from lerobot.teleoperators.unitree_g1.exo_serial import parse_raw16
        line = b"100 200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600\n"
        result = parse_raw16(line)
        assert result is not None
        assert len(result) == 16
        assert result[0] == 100
        assert result[15] == 1600
    def test_parse_raw16_too_short(self):
        from lerobot.teleoperators.unitree_g1.exo_serial import parse_raw16
        line = b"100 200 300\n"
        assert parse_raw16(line) is None
    def test_parse_raw16_garbage(self):
        from lerobot.teleoperators.unitree_g1.exo_serial import parse_raw16
        assert parse_raw16(b"not numbers at all\n") is None
        assert parse_raw16(b"\xff\xfe\xfd\n") is None
        assert parse_raw16(b"") is None
    def test_calibrate_requires_connection(self):
        from lerobot.teleoperators.unitree_g1.exo_serial import ExoskeletonArm
        arm = ExoskeletonArm(
            port="/dev/null",
            calibration_fpath=MagicMock(is_file=MagicMock(return_value=False)),
            side="left",
        )
        with pytest.raises(RuntimeError, match="not connected"):
            arm.calibrate()
    def test_is_connected_false_by_default(self):
        from lerobot.teleoperators.unitree_g1.exo_serial import ExoskeletonArm
        arm = ExoskeletonArm(
            port="/dev/null",
            calibration_fpath=MagicMock(is_file=MagicMock(return_value=False)),
            side="left",
        )
        assert not arm.is_connected
        assert not arm.is_calibrated
    def test_read_raw_when_disconnected(self):
        from lerobot.teleoperators.unitree_g1.exo_serial import ExoskeletonArm
        arm = ExoskeletonArm(
            port="/dev/null",
            calibration_fpath=MagicMock(is_file=MagicMock(return_value=False)),
            side="left",
        )
        assert arm.read_raw() is None
Author	SHA1	Message	Date
Steven Palma	00b662de02	chore(dependencies): Bump lerobot to 0.5.0 (#3117 )	2026-03-09 11:34:52 +01:00
Steven Palma	5c51a74484	chore(deps): update requirements file (#3114 )	2026-03-09 11:18:05 +01:00
Steven Palma	db8547e35d	test(cameras): skip flaky async_read test (#3106 )	2026-03-08 14:02:33 +01:00
Steven Palma	c17d949531	chore(readme): update citation with ICLR26 paper (#3107 ) * peer reviewed citation 🎉 Signed-off-by: Francesco Capuano <74058581+fracapuano@users.noreply.github.com> * add iclr year Signed-off-by: Francesco Capuano <74058581+fracapuano@users.noreply.github.com> * fix quentin's spelling name Signed-off-by: Francesco Capuano <74058581+fracapuano@users.noreply.github.com> * docs(readme): update citation --------- Signed-off-by: Francesco Capuano <74058581+fracapuano@users.noreply.github.com> Co-authored-by: Francesco Capuano <74058581+fracapuano@users.noreply.github.com>	2026-03-08 14:01:43 +01:00
Steven Palma	1e131f93f8	chore(docs): add uv installation instructions (#3105 ) * chore(docs): add uv installation instructions * fix(docs): format tabs * chore(docs): small details * chore(docs): last details uv installation instructions * chore(docs): last detail --- Co-authored-by: sahilmaniyar888 <156301258+sahilmaniyar888@users.noreply.github.com>	2026-03-08 13:00:06 +01:00
Ignat Georgiev	2fb5c7add0	feat(train): add cudnn_deterministic option for reproducible training (#3102 ) Add a `cudnn_deterministic` flag to `TrainPipelineConfig` (default: False) that sets `torch.backends.cudnn.deterministic = True` and disables benchmark mode, eliminating CUDA floating-point non-determinism at the cost of ~10-20% training speed. When False (default) the existing benchmark=True behaviour is preserved.	2026-03-08 12:29:33 +01:00
Martino Russi	4f2ef024d8	feat(robots): Unitree G1 WBC implementation (#2876 ) * move locomotion from examples to robot, move controller to teleoperator class * modify teleoperate to send back actions to robot * whole body controller * add holosoma to locomotros * various updates * update joint zeroing etc * ensure safefail with locomotion * add unitree locomotion * launch camera from g1 server * publish at varying framerates * fix async read in camera * attempting to fix camera lag * test camera speedup * training * inference works * remove logging from pi0 * remove logging * push local changes * testing * final changes * revert control_utils * revert utils * revert * revert g1 * revert again: * revert utils * push recents * remove examples * remove junk * remove mjlog * revergt edit_dataset * Update lerobot_edit_dataset.py Signed-off-by: Martino Russi <77496684+nepyope@users.noreply.github.com> * undo teleop changes * revert logging * remove loggings * remove loogs * revert dataset tools * Update dataset_tools.py Signed-off-by: Martino Russi <77496684+nepyope@users.noreply.github.com> * move gravity to utils * revert changes * remove matplotlib viewer (rerun works fine) * factory revert * send policy action directly * recent changes * implement flexible action space * send empty command if arms are missing * rename locomotion to controller * add init * implement feedback * add feedback for teleoperator * fix ruff * fix ruff * use read_latest * fix zmq camera * revert exo_serial * simplify PR * revert exo_changes * revert camera_zmq * Update camera_zmq.py Signed-off-by: Martino Russi <77496684+nepyope@users.noreply.github.com> * remove frame duplication from zmq server * revert channerfactoryinitialize * keep channelfactoryinitialize * remove zeroing out logic * fix typo * refactor teleop class * simplify teleop further * import armindex at the top * fix visualizer again * revert ik helper * push stuff * simplify image_server * update image_server * asd * add threading logic * simplify ik helper stuff * simplify holosoma * fix names * fix docs * revert leg override * clean connect * fix controller * fix ruff * clean teleoperator * set_from_wireless * avoid double initializations * refactor robot class * fix pre-commit * update docs * update docs format * add teleop instructions * unitree_g1 specific exception in record/teleoperate * add thumbnail to docs * add thumbnail to doc * refactor(unitree): multiple improvements (#3103) * refactor(unitree): multiple improvements * test(unitree): added tests + improved installation instructions * refactor(robots): minor changes unitree robot kinematic * chore(robots): rename g1 kinematics file --------- Signed-off-by: Martino Russi <77496684+nepyope@users.noreply.github.com> Signed-off-by: Steven Palma <imstevenpmwork@ieee.org> Co-authored-by: Steven Palma <imstevenpmwork@ieee.org> Co-authored-by: Steven Palma <steven.palma@huggingface.co>	2026-03-08 11:33:24 +01:00
Shun.Sasaki	6139b133ca	fix(async_inference): restore robot module imports in robot_client.py (#3081 )	2026-03-06 17:14:14 +01:00