spiralfg2026MIT
VLA 合成轨迹数据集 - 多参数物理一致
A synthetic trajectory dataset for robot manipulation with physics-consistent parameters, ISO safety standard compliance, and 2734 valid parameter combinations across 4 robot types, 16 action types, and 4 risk levels.
Downloads0
Episodes80
Why This Matters for Physical AI
This dataset provides physics-consistent synthetic robot manipulation trajectories with built-in ISO safety compliance and complete physical metadata, enabling rapid iteration and reproducible evaluation for embodied AI systems without the annotation overhead of real-world collection.
Technical Profile
- Modalities
- proprioceptionforce_torque
- Robot Embodiments
- precision medical cobotlightweight cobotmedium industrial robotheavy industrial robot
- Action Space
- joint_positions
- Environment
- simulation
- Task Types
- manipulationgraspingpick_and_placetransport
- Episodes
- 80
- Data Format
- JSON
- Annotation Types
- action_labelsrobot_type_labelsrisk_level_labelsscene_category_labelscompliance_validation
- License
- MIT
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