sungkyunner
UniVTAC SmolVLA Baseline Evaluation
Closed-loop evaluation of a tactile-free SmolVLA baseline trained on 800 UniVTAC Isaac45 demonstrations, where tactile observations are simulated but never sent to the policy.
Downloads4
Episodes800
Why This Matters for Physical AI
This evaluation demonstrates the effectiveness of vision-language-action models for robotic manipulation in simulation, establishing baseline performance metrics for multi-task closed-loop control without tactile feedback.
Technical Profile
- Modalities
- rgbproprioceptionlanguage
- Action Space
- end_effector_delta
- Environment
- simulation
- Task Types
- manipulationgraspingpick_and_placeinsertion
- Episodes
- 800
- Annotation Types
- language_instructionsreward_labels
Access
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