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Ego2Contact: Predicting Touch from Egocentric Human Video for Contact-Rich Robot Manipulation

Ego2Contact learns visual-tactile priors from human interactions and transfers them to robot hands. Its predictor fuses temporal scene context with hand-local visual features to infer bimanual tactile fields from RGB video, and anatomical region correspondences align varying robot tactile layouts with the predictor's canonical grid.

Part of the event: Ego2Contact: Predicting Touch from Human Video for Robot Use

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