RoboCasa_GR1 / README.md
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---
pretty_name: RoboCasa GR1 EEF33 LeRobot v3
task_categories:
- robotics
---
# RoboCasa GR1 EEF33 (LeRobot v3)
OpenWAM-ready conversion of the 24k-trajectory `gr1_unified.*` subset from
[`nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim`](https://huggingface.co/datasets/nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim).
The original LeRobot v2.0 payload is preserved and enriched with:
- `eef_action`
- `observation.eef_state`
Both use the robot-base-frame layout:
```text
[L xyz3, L rot6d6, L hand6, R xyz3, R rot6d6, R hand6, waist3]
```
The conversion uses the exact RoboCasa GR1 MuJoCo model for forward kinematics,
then re-indexes the dataset to the LeRobot v3 metadata/path contract.
`normalization_stats.npy` contains one global `eef` statistics block pooled
from state and action rows; rot6d dimensions are identity-pinned.
Conversion implementation: OpenWAM PR #44, commit `e36dd50`.