Residual-Copilot
Collection
Datasets and checkpoints used for the paper: Efficient and Reliable Teleoperation through Real-to-Sim-to-Real Shared Autonomy • 9 items • Updated • 3
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0121_gearmesh_teleop_aug_2000 | /home/shuo/.cache/huggingface/lerobot/0121_gearmesh_teleop_aug_2000 | task_index
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0121_nutthread_teleop_aug_2000 | /home/shuo/.cache/huggingface/lerobot/0121_nutthread_teleop_aug_2000 | task_index
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0121_peginsert_teleop_aug_2000 | /home/shuo/.cache/huggingface/lerobot/0121_peginsert_teleop_aug_2000 | task_index
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Teleoperation demonstration data for Residual Shared Autonomy. Used by the kNN pilot for nearest-neighbor action retrieval and for sampling episode initial states during environment resets.
teleop/
├── gearmesh_train_data.npy # GearMesh teleop trajectories
├── peginsert_train_data.npy # PegInsert teleop trajectories
├── nutthread_train_data.npy # NutThread teleop trajectories
├── *_train_data_aug.npy # Augmented versions (with noise/perturbations)
└── *_train_data_aug_meta.json # Augmentation metadata
Each .npy file is a dictionary keyed by episode ID. Each episode contains obs.fingertip_pos, obs.fingertip_quat, obs.fingertip_pos_rel_fixed, obs.fingertip_pos_rel_held, and action trajectories.
For DiffusionPolicy BC training, use the separate LeRobot-format datasets instead (e.g., shashuo0104/0126_gearmesh_expert_2000).
Data is auto-downloaded at runtime via resolve_hf(). See the main repo for setup instructions.
| Repo | Type | Contents |
|---|---|---|
| residual_copilot_assets | dataset | Robot URDF/USD and object meshes |
| residual_copilot_models | model | BC pilot + RL residual copilot checkpoints |