LaelaZorana2024cc-by-4.0
VLA Action Anomaly Eval
A labelled evaluation set pairing real teleoperated robot actions from DROID with realistic faults injected into held-out real actions, designed to measure runtime safety supervisor performance for vision-language-action policies.
Downloads70
Episodes9000
Why This Matters for Physical AI
This dataset enables measurement of runtime safety supervisors for vision-language-action policies by providing real in-distribution actions paired with realistic synthetic faults, addressing the critical need to detect out-of-distribution policy failures in embodied AI systems.
Technical Profile
- Modalities
- proprioception
- Robot Embodiments
- Franka Panda
- Action Space
- end_effector_delta
- Environment
- lab
- Task Types
- manipulation
- Episodes
- 9000
- Data Format
- parquet
- Annotation Types
- action_labelsreward_labels
- License
- cc-by-4.0
Access
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