Patrick Sherman

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About

Patrick Sherman is a leading researcher in multi-robot systems and autonomous navigation, with a focus on enabling resilient, intelligent coordination in uncertain environments. His work addresses fundamental challenges in path planning and mission execution for heterogeneous robot teams, particularly where communication and environmental knowledge are unreliable. In his highly cited 2024 paper, "A Heterogeneous System of Systems Framework for Proactive Path Planning of a UAV-assisted UGV in Uncertain Environments," Sherman introduced a novel framework that allows an unmanned ground vehicle (UGV) to leverage aerial support from a UAV to proactively avoid blocked paths and hazards, significantly improving traversal success in unknown terrains. His follow-up work, "Robust Online Epistemic Replanning of Multi-Robot Missions," tackles the critical issue of communication loss in multi-robot systems (MRS), providing algorithms that enable teams to dynamically replan missions even when individual robots become unavailable. With both papers already garnering 3 citations each shortly after publication, Sherman’s contributions are rapidly gaining recognition for their practical impact on field robotics, from environmental monitoring to space exploration. His research is essential reading for anyone developing autonomous systems that must operate reliably in the real world.