A constrained reinforcement learning framework with separate proximity and safety cost limits, plus conformal prediction uncertainty margins, improves human-following robots in dense crowds.
Conformal inference for online predic- tion with arbitrary distribution shifts,
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Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds
A constrained reinforcement learning framework with separate proximity and safety cost limits, plus conformal prediction uncertainty margins, improves human-following robots in dense crowds.