haw-ai-i2026cc-by-4.0
Fiatlux policy baselines
Recorded and scored runs of reference policies on twelve Fiatlux humanoid subtasks, including zero-action, random-action, and GR00T N1.7 zero-shot baselines with benchmark scorer outputs.
Downloads56
Episodes12
Why This Matters for Physical AI
Provides standardized benchmark baselines and scoring infrastructure for evaluating humanoid control policies on diverse manipulation and locomotion subtasks.
Technical Profile
- Modalities
- rgbproprioceptionforce_torque
- Robot Embodiments
- humanoid
- Action Space
- joint_positions
- Environment
- simulation
- Task Types
- manipulationlocomotion
- Episodes
- 12
- Data Format
- HDF5
- Annotation Types
- reward_labelsaction_labels
- License
- cc-by-4.0
Access
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