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• 论文公开站arXiv2026年10月8日 22:11

  RoboPrompt: Intuitive Robot Policy Steering with Sparse Human Input

  End-to-end robot policies trained through imitation learning remain constrained by limited data diversity, making reliable zero-shot deployment in real-world settings challenging. Shared-autonomy methods enable human correction through teleoperation, but specialized hardware and

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