Robust Following with Hidden Information in Travel Partners

We presented a framework for robust planning for group agents, implemented in navigation. The framework erased the need for unrealistic behavioral assumptions as used in prior agent-based modeling and robot planning approaches. We showed superior following performance subject to decision uncertainty, and simulated pedestrians with real-world pedestrian motion features suggested in the literature.