AI RESEARCH
Safe Probabilistic Planning for Human-Robot Interaction using Conformal Risk Control
arXiv CS.AI
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ArXi:2603.10392v1 Announce Type: cross In this paper, we present a novel probabilistic safe control framework for human-robot interaction that combines control barrier functions (CBFs) with conformal risk control to provide formal safety guarantees while considering complex human behavior. The approach uses conformal risk control to quantify and control the prediction errors in CBF safety values and establishes formal guarantees on the probability of constraint satisfaction during interaction. We.