Preprint Open access
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 operator training hinder deployment at s …