diff --git a/src/lerobot/rewards/robometer/compute_rabc_weights.py b/src/lerobot/rewards/robometer/compute_rabc_weights.py
index 87d844340..8e2b016fb 100644
--- a/src/lerobot/rewards/robometer/compute_rabc_weights.py
+++ b/src/lerobot/rewards/robometer/compute_rabc_weights.py
@@ -108,10 +108,13 @@ def compute_robometer_progress(
     batch_size: int = 32,
     num_subsampled_frames: int = DEFAULT_NUM_SUBSAMPLED_FRAMES,
     episodes: list[int] | None = None,
+    image_key: str | None = None,
 ) -> Path:
     """Run Robometer over a dataset and write per-frame progress + success."""
     logging.info(f"Loading Robometer: {reward_model_path}")
     config = RobometerConfig(pretrained_path=reward_model_path, device=device)
+    if image_key is not None:
+        config.image_key = image_key
     model = RobometerRewardModel.from_pretrained(reward_model_path, config=config)
     model.to(device).eval()
 
@@ -248,6 +251,9 @@ Examples:
     parser.add_argument(
         "--episodes", type=int, nargs="+", default=None, help="Process only these episode indices."
     )
+    parser.add_argument(
+        "--image-key", type=str, default=None, help="Image observation key (default: from config)."
+    )
     parser.add_argument(
         "--push-to-hub", action="store_true", help="Upload to the dataset repo on HuggingFace Hub."
     )
@@ -276,6 +282,7 @@ Examples:
         batch_size=args.batch_size,
         num_subsampled_frames=args.num_subsampled_frames,
         episodes=args.episodes,
+        image_key=args.image_key,
     )
 
     print(f"\nRobometer progress saved to: {output_path}")