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VisTacAlign: Co-Training Dexterous Policies on Tactile Human and Robot Demonstrations
Human demonstrations are a cheap source of data for dexterous manipulation, but co-training a robot policy on them requires closing the human--robot gap in every modality the policy consumes. We present VisTacAlign, a framework for co-training 3D-visual-tactile dexterous policies on human and robot
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