Instructions to use aakashv100/act_so101_pick_cube_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use aakashv100/act_so101_pick_cube_v2 with LeRobot:
- Notebooks
- Google Colab
- Kaggle
| library_name: lerobot | |
| license: apache-2.0 | |
| pipeline_tag: robotics | |
| tags: | |
| - robotics | |
| - lerobot | |
| - act | |
| - so101 | |
| datasets: | |
| - aakashv100/so101-pick-cube-v2 | |
| # ACT — SO-101 pick cube v2 | |
| ACT (Action Chunking Transformer) policy for the SO-101 follower arm. | |
| Task: **"Pick up the cube and place it in the bowl"**. | |
| ## Training | |
| - Dataset: [aakashv100/so101-pick-cube-v2](https://huggingface.co/datasets/aakashv100/so101-pick-cube-v2) — 50 teleoperated episodes, 30 fps | |
| - Cameras: `gripper_cam` (wrist, 640x480) + `top_cam` (overhead wide-angle USB, 640x480) | |
| - State/action: 6-DoF joint positions (degrees) + gripper | |
| - Steps: 60k, chunk_size = n_action_steps = 100 | |
| - Checkpoint: 060000 | |
| ## Usage (lerobot) | |
| ```bash | |
| lerobot-record \ | |
| --robot.type=so101_follower \ | |
| --policy.path=aakashv100/act_so101_pick_cube_v2 \ | |
| --dataset.single_task="Pick up the cube and place it in the bowl" \ | |
| ... | |
| ``` | |
| ## Evaluation | |
| Evaluated with a 50-trial fixed-position + 50-trial random-position protocol | |
| (same checkpoint, cube start positions within a 10x10 cm zone). Note: all | |
| training episodes start the cube at a single fixed position, so random-position | |
| performance measures out-of-distribution generalization. | |