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A4A: Cross-Embodiment Transfer of Action-Oriented 4D Affordances from Human Demonstrations
Human demonstrations contain rich manipulation knowledge, but it remains unclear what information can be transferred effectively to robot control. Existing affordance representations are typically formulated as 2D masks, 3D regions, contact points, or actionability scores, and therefore primarily id
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