Michael Roemer

University of Rochester, Impact Technology Development (United States)

Papers

Total Citations

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About

Michael Roemer is a leading researcher in autonomous systems, with a primary focus on mission planning, health management, and fault-tolerant control for unmanned vehicles. His major contributions lie in integrating real-time system health prognostics into mission planning algorithms, a paradigm shift that enables autonomous vehicles to adapt their routes and objectives in response to component degradation or faults. His most cited work, "A Recursive Receding Horizon Planning for Unmanned Vehicles" (2014, 45 citations), introduced a novel grid-based path planning algorithm that efficiently navigates nonuniform environments by dividing the map into distinct areas. Roemer further advanced the field with his 2020 paper on "Autonomous Vehicle Battery State-of-Charge Prognostics Enhanced Mission Planning" (25 citations), which demonstrated how battery health predictions can optimize mission outcomes. His earlier foundational work, "An automated contingency management simulation environment for integrated health management and control" (2004, 11 citations), provided a critical software test bed for developing and verifying fault accommodation strategies. Through these contributions, Roemer has established himself as a key figure in creating resilient, self-aware autonomous systems that can operate safely and efficiently even under degraded conditions.