Papers
9
Total Citations
128
H-Index
5
About
Michael Dorothy is a researcher whose work spans autonomous systems, game-theoretic multi-agent control, and robotic motion planning. He is best known for his contributions to pursuit-evasion and defense games, where he has developed foundational frameworks for scenarios involving patrollers, defenders, and intruders operating under realistic, partial-information constraints. His 2019 paper on team composition for perimeter defense (39 citations) established key results for multi-player pursuit-evasion with limited sensor footprints, while his work on the Partial Information Target Defense Game (27 citations) extended classical Isaacs-style formulations to more practically relevant settings. Dorothy has also made significant contributions to adversarial resource allocation through his Dynamic Defender-Attacker Blotto Game framework (22 citations), modeling competitive multi-robot engagements on graph-structured environments. His earlier theoretical work on switched systems with multiple invariant sets (23 citations) demonstrates a strong foundation in dynamical systems and control theory. Beyond defense games, Dorothy has explored bio-inspired robotics — including a robotic bat testbed — and constraint-driven swarm control for energy-efficient flocking and collision avoidance. Collectively, his research advances the mathematical and algorithmic foundations for deploying autonomous multi-robot systems in complex, adversarial environments.
Research Focus
Key Achievements
Top Papers
- 1Team Composition for Perimeter Defense with Patrollers and Defenders39 citations · 2019
- 2Partial Information Target Defense Game27 citations · 2021
- 3Switched systems with multiple invariant sets23 citations · 2016
- 4Dynamic Defender-Attacker Blotto Game22 citations · 2022
- 5RoboBat: Dynamics and Control of a Robotic Bat Flapping Flying Testbed6 citations · 2011
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- 8Switched Systems With Multiple Invariant Sets2 citations · 2015
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