HUG: Turning Everyday Human Grasps Into a Robot-Ready Prior
Collects 1M frames (27.8 hours) of egocentric human grasping video and trains a flow-matching model to predict and retarget hand poses to robots. Achieves large zero-shot gains on diverse everyday grasping tasks without requiring robot-specific training data.
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