Trevor Olsen

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About

Trevor Olsen is a leading researcher in multi-robot systems, with a focus on visibility-based pursuit-evasion—a computationally challenging domain where teams of pursuer robots must detect an arbitrarily fast evader in polygonal environments. His major contributions include developing a "robust-by-design" planning framework that re-formulates the pursuit-evasion problem to guarantee detection even under adversarial conditions, and pioneering rapid recovery strategies that enable robot teams to maintain mission effectiveness after individual failures. These works, each cited 6 times, represent foundational advances in resilient multi-robot coordination. Olsen’s research is notable for tackling the worst-case complexity of pursuit-evasion—where the best complete algorithms require exponential time—by introducing practical, scalable heuristics that balance completeness with real-time performance. His work has direct implications for search-and-rescue, surveillance, and autonomous exploration, where robot teams must operate reliably in uncertain environments. Olsen continues to push the boundaries of decentralized, fault-tolerant robotics, making him a key figure in the field of multi-agent autonomy.