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Video generative priors only translate into robust physical control when paired with explicit world-to-action information routing and synchronized joint denoising rather than standard monolithic fine-tuning.
Robots can reliably hand over objects to humans by actively probing grasps, achieving a 30% improvement over passive methods.
