Matthew Haire
Papers
3
Total Citations
77
H-Index
3
About
Matthew Haire is a leading researcher in swarm robotics, with a primary focus on developing decentralized algorithms for collective intelligence and autonomous underwater vehicle (AUV) systems. His work bridges the gap between minimalist agent coordination and complex real-world applications, most notably in maritime emergency response. Haire’s most influential contribution, “Sophisticated collective foraging with minimalist agents: a swarm robotics test” (2019, 65 citations), demonstrates how simple, rule-based agents can achieve efficient, robust collective foraging—a foundational insight for both biological swarm theory and engineering design. This work has become a key reference for researchers studying distance-quality trade-offs and swarm-size-dependent strategies. Beyond foraging, Haire has pioneered practical applications for ship hull repair and inspection using homogeneous AUV swarms. His self-assembly algorithm (2019, 7 citations) and search algorithm (2019, 5 citations) propose scalable, autonomous solutions for rapidly locating and patching hull breaches at sea—a critical capability where minutes can determine a vessel’s survival. By translating theoretical swarm principles into deployable maritime technologies, Haire’s research exemplifies how minimalist coordination can solve high-stakes, real-world problems, making him a notable figure in both swarm intelligence and field robotics.
Research Focus
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Top Papers
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