microsoft2026cc-by-nc-4.0

MuseVLA Dataset

Multi-modal robot manipulation dataset with synchronized RGB, depth, acoustic, thermal, and radar streams covering ~1400 episodes across 11 manipulation instructions.

Downloads61
Episodes1397

Why This Matters for Physical AI

MuseVLA demonstrates the value of multi-modal sensing (acoustic, thermal, radar) beyond traditional vision for robotic manipulation, advancing perception capabilities for real-world physical tasks.

Technical Profile

Modalities
rgbdepthacousticthermalradarproprioception
Action Space
end_effector_delta
Environment
lab
Task Types
manipulationtowel_manipulationclothes_manipulationbox_manipulationitem_manipulationdrink_manipulation
Episodes
1397
Annotation Types
language_instructionssegmentationaction_labels
License
cc-by-nc-4.0
Part of the MuseVLA family

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