Files
lerobot-clone/src/lerobot/__init__.py
Jade Choghari 271d92dcaa feat(sim): add metaworld env (#2088)
* add metaworld

* smol update

Signed-off-by: Jade Choghari <chogharijade@gmail.com>

* update design

* Update src/lerobot/envs/metaworld.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Signed-off-by: Jade Choghari <chogharijade@gmail.com>

* update

* small changes

* iterate on review

* small fix

* small fix

* add docs

* update doc

* add better gif

* smol doc fix

* updage gymnasium

* add note

* depreciate gym-xarm

* more changes

* update doc

* comply with mypy

* more fixes

* update readme

* precommit

* update pusht

* add pusht instead

* changes

* style

* add changes

* update

* revert

* update v2

* chore(envs): move metaworld config to its own file + remove comments + simplify _format_raw_obs (#2200)

* update final changes

---------

Signed-off-by: Jade Choghari <chogharijade@gmail.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Steven Palma <imstevenpmwork@ieee.org>
2025-10-14 17:21:18 +02:00

201 lines
6.9 KiB
Python

#!/usr/bin/env python
# Copyright 2024 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.
"""
This file contains lists of available environments, dataset and policies to reflect the current state of LeRobot library.
We do not want to import all the dependencies, but instead we keep it lightweight to ensure fast access to these variables.
Example:
```python
import lerobot
print(lerobot.available_envs)
print(lerobot.available_tasks_per_env)
print(lerobot.available_datasets)
print(lerobot.available_datasets_per_env)
print(lerobot.available_real_world_datasets)
print(lerobot.available_policies)
print(lerobot.available_policies_per_env)
print(lerobot.available_robots)
print(lerobot.available_cameras)
print(lerobot.available_motors)
```
When implementing a new dataset loadable with LeRobotDataset follow these steps:
- Update `available_datasets_per_env` in `lerobot/__init__.py`
When implementing a new environment (e.g. `gym_aloha`), follow these steps:
- Update `available_tasks_per_env` and `available_datasets_per_env` in `lerobot/__init__.py`
When implementing a new policy class (e.g. `DiffusionPolicy`) follow these steps:
- Update `available_policies` and `available_policies_per_env`, in `lerobot/__init__.py`
- Set the required `name` class attribute.
- Update variables in `tests/test_available.py` by importing your new Policy class
"""
import itertools
from lerobot.__version__ import __version__ # noqa: F401
# TODO(rcadene): Improve policies and envs. As of now, an item in `available_policies`
# refers to a yaml file AND a modeling name. Same for `available_envs` which refers to
# a yaml file AND a environment name. The difference should be more obvious.
available_tasks_per_env = {
"aloha": [
"AlohaInsertion-v0",
"AlohaTransferCube-v0",
],
"pusht": ["PushT-v0"],
}
available_envs = list(available_tasks_per_env.keys())
available_datasets_per_env = {
"aloha": [
"lerobot/aloha_sim_insertion_human",
"lerobot/aloha_sim_insertion_scripted",
"lerobot/aloha_sim_transfer_cube_human",
"lerobot/aloha_sim_transfer_cube_scripted",
"lerobot/aloha_sim_insertion_human_image",
"lerobot/aloha_sim_insertion_scripted_image",
"lerobot/aloha_sim_transfer_cube_human_image",
"lerobot/aloha_sim_transfer_cube_scripted_image",
],
# TODO(alexander-soare): Add "lerobot/pusht_keypoints". Right now we can't because this is too tightly
# coupled with tests.
"pusht": ["lerobot/pusht", "lerobot/pusht_image"],
}
available_real_world_datasets = [
"lerobot/aloha_mobile_cabinet",
"lerobot/aloha_mobile_chair",
"lerobot/aloha_mobile_elevator",
"lerobot/aloha_mobile_shrimp",
"lerobot/aloha_mobile_wash_pan",
"lerobot/aloha_mobile_wipe_wine",
"lerobot/aloha_static_battery",
"lerobot/aloha_static_candy",
"lerobot/aloha_static_coffee",
"lerobot/aloha_static_coffee_new",
"lerobot/aloha_static_cups_open",
"lerobot/aloha_static_fork_pick_up",
"lerobot/aloha_static_pingpong_test",
"lerobot/aloha_static_pro_pencil",
"lerobot/aloha_static_screw_driver",
"lerobot/aloha_static_tape",
"lerobot/aloha_static_thread_velcro",
"lerobot/aloha_static_towel",
"lerobot/aloha_static_vinh_cup",
"lerobot/aloha_static_vinh_cup_left",
"lerobot/aloha_static_ziploc_slide",
"lerobot/umi_cup_in_the_wild",
"lerobot/unitreeh1_fold_clothes",
"lerobot/unitreeh1_rearrange_objects",
"lerobot/unitreeh1_two_robot_greeting",
"lerobot/unitreeh1_warehouse",
"lerobot/nyu_rot_dataset",
"lerobot/utokyo_saytap",
"lerobot/imperialcollege_sawyer_wrist_cam",
"lerobot/utokyo_xarm_bimanual",
"lerobot/tokyo_u_lsmo",
"lerobot/utokyo_pr2_opening_fridge",
"lerobot/cmu_franka_exploration_dataset",
"lerobot/cmu_stretch",
"lerobot/asu_table_top",
"lerobot/utokyo_pr2_tabletop_manipulation",
"lerobot/utokyo_xarm_pick_and_place",
"lerobot/ucsd_kitchen_dataset",
"lerobot/austin_buds_dataset",
"lerobot/dlr_sara_grid_clamp",
"lerobot/conq_hose_manipulation",
"lerobot/columbia_cairlab_pusht_real",
"lerobot/dlr_sara_pour",
"lerobot/dlr_edan_shared_control",
"lerobot/ucsd_pick_and_place_dataset",
"lerobot/berkeley_cable_routing",
"lerobot/nyu_franka_play_dataset",
"lerobot/austin_sirius_dataset",
"lerobot/cmu_play_fusion",
"lerobot/berkeley_gnm_sac_son",
"lerobot/nyu_door_opening_surprising_effectiveness",
"lerobot/berkeley_fanuc_manipulation",
"lerobot/jaco_play",
"lerobot/viola",
"lerobot/kaist_nonprehensile",
"lerobot/berkeley_mvp",
"lerobot/uiuc_d3field",
"lerobot/berkeley_gnm_recon",
"lerobot/austin_sailor_dataset",
"lerobot/utaustin_mutex",
"lerobot/roboturk",
"lerobot/stanford_hydra_dataset",
"lerobot/berkeley_autolab_ur5",
"lerobot/stanford_robocook",
"lerobot/toto",
"lerobot/fmb",
"lerobot/droid_100",
"lerobot/berkeley_rpt",
"lerobot/stanford_kuka_multimodal_dataset",
"lerobot/iamlab_cmu_pickup_insert",
"lerobot/taco_play",
"lerobot/berkeley_gnm_cory_hall",
"lerobot/usc_cloth_sim",
]
available_datasets = sorted(
set(itertools.chain(*available_datasets_per_env.values(), available_real_world_datasets))
)
# lists all available policies from `lerobot/policies`
available_policies = ["act", "diffusion", "tdmpc", "vqbet"]
# lists all available robots from `lerobot/robots`
available_robots = [
"koch",
"koch_bimanual",
"aloha",
"so100",
"so101",
]
# lists all available cameras from `lerobot/cameras`
available_cameras = [
"opencv",
"intelrealsense",
]
# lists all available motors from `lerobot/motors`
available_motors = [
"dynamixel",
"feetech",
]
# keys and values refer to yaml files
available_policies_per_env = {
"aloha": ["act"],
"pusht": ["diffusion", "vqbet"],
"koch_real": ["act_koch_real"],
"aloha_real": ["act_aloha_real"],
}
env_task_pairs = [(env, task) for env, tasks in available_tasks_per_env.items() for task in tasks]
env_dataset_pairs = [
(env, dataset) for env, datasets in available_datasets_per_env.items() for dataset in datasets
]
env_dataset_policy_triplets = [
(env, dataset, policy)
for env, datasets in available_datasets_per_env.items()
for dataset in datasets
for policy in available_policies_per_env[env]
]