enactic/openarm-2-cell-pick_up_cube_mujoco-lerobot
Viewer • Updated • 5.41k • 199
How to use xXFiEsTaDeAmOnXx/smolvla-openarmv2-cell with LeRobot:
# See https://github.com/huggingface/lerobot?tab=readme-ov-file#installation for more details git clone https://github.com/huggingface/lerobot.git cd lerobot pip install -e .[smolvla]
# Launch finetuning on your dataset python lerobot/scripts/train.py \ --policy.path=xXFiEsTaDeAmOnXx/smolvla-openarmv2-cell \ --dataset.repo_id=lerobot/svla_so101_pickplace \ --batch_size=64 \ --steps=20000 \ --output_dir=outputs/train/my_smolvla \ --job_name=my_smolvla_training \ --policy.device=cuda \ --wandb.enable=true
# Run the policy using the record function
python -m lerobot.record \
--robot.type=so101_follower \
--robot.port=/dev/ttyACM0 \ # <- Use your port
--robot.id=my_blue_follower_arm \ # <- Use your robot id
--robot.cameras="{ front: {type: opencv, index_or_path: 8, width: 640, height: 480, fps: 30}}" \ # <- Use your cameras
--dataset.single_task="Grasp a lego block and put it in the bin." \ # <- Use the same task description you used in your dataset recording
--dataset.repo_id=HF_USER/dataset_name \ # <- This will be the dataset name on HF Hub
--dataset.episode_time_s=50 \
--dataset.num_episodes=10 \
--policy.path=xXFiEsTaDeAmOnXx/smolvla-openarmv2-cellSmolVLA fine-tuned for the bimanual OpenArm v2 Cell pick-up task in MuJoCo simulation. Base model: lerobot/smolvla_base. Training data: enactic/openarm-2-cell-pick_up_cube_mujoco-lerobot.
Trained on three cameras (renamed to camera1–camera3):
| policy input | dataset camera |
|---|---|
observation.images.camera1 |
observation.images.ceiling |
observation.images.camera2 |
observation.images.wrist_right |
observation.images.camera3 |
observation.images.head_left |
Task instruction: Pick up the cube. Action: 16-d joint positions (right arm, then left arm) at 30 Hz.
Evaluate with gym_openarmv2:
lerobot-eval \
--policy.path=xXFiEsTaDeAmOnXx/smolvla-openarmv2-cell \
--policy.device=cuda \
--env.type=openarmv2 \
--env.discover_packages_path=gym_openarmv2 \
--env.cameras='["ceiling","wrist_right","head_left"]' \
--rename_map='{"observation.images.ceiling":"observation.images.camera1","observation.images.wrist_right":"observation.images.camera2","observation.images.head_left":"observation.images.camera3"}' \
--eval.n_episodes=10 \
--eval.batch_size=1
Fine-tuned on lift-only demonstrations (30 episodes). The placing phase of the cell task (set down inside the black tray) is not covered by the training data.
Base model
lerobot/smolvla_base