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School of Computer Science
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Sparse keypoints combined with dense correspondences enable robots to master complex rigid-deformable interactions with minimal demonstrations.
Forget training separate policies for every robot hand – this method learns one policy to control them all, slashing data needs and boosting performance by 50% in cross-embodiment manipulation.