oxe-augecc-by-4.0
toto_train_0_100_augmented
An augmented robotics dataset containing 100 episodes with cross-robot visual and kinematic augmentation across 9 robot embodiments, featuring 32,561 frames at 30 FPS with natural language instructions and end-effector pose annotations.
Downloads68
Episodes100
Why This Matters for Physical AI
This dataset enables cross-embodiment learning through visual and kinematic augmentation, allowing robots with different morphologies to learn from shared task demonstrations and generalize manipulation skills across platforms.
Technical Profile
- Modalities
- rgbproprioceptionlanguage
- Robot Embodiments
- google_robotjacokinova3kuka_iiwasawyerur5ewidowXxarm7
- Action Space
- joint_positions
- Environment
- lab
- Task Types
- manipulation
- Episodes
- 100
- Data Format
- parquet
- Annotation Types
- language_instructionsaction_labels
- License
- cc-by-4.0
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