oxe-auge2025cc-by-4.0
berkeley_autolab_ur5_train_300_400
An augmented robotics dataset containing 100 episodes with cross-embodiment image transformations for 9 different robot platforms (Google Robot, Jaco, Kinova3, KUKA IIWA, Franka Panda, Sawyer, WidowX, xArm7). The dataset includes joint positions, end-effector poses, and natural language instructions with 5 FPS frame rate.
Downloads189
Episodes100
Why This Matters for Physical AI
This dataset enables cross-embodiment policy learning by providing augmented visual observations and proprioceptive data across multiple robot platforms, advancing research in robot generalization and transfer learning.
Technical Profile
- Modalities
- rgbproprioceptionlanguage
- Robot Embodiments
- google_robotjacokinova3kuka_iiwapandasawyerwidowXxarm7
- Action Space
- joint_positions
- Environment
- lab
- Task Types
- manipulation
- Episodes
- 100
- Data Format
- parquet
- Annotation Types
- language_instructions
- License
- cc-by-4.0
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