Leighton Collins

University at Buffalo, State University of New York

Papers

Total Citations

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About

Leighton Collins is a rising researcher in multi-robot systems and swarm intelligence, focusing on the intersection of autonomous coordination and real-world operational constraints. Their work addresses two critical challenges in field robotics: executing complex swarm tactics in adversarial environments and achieving scalable, efficient coverage of non-convex areas. Collins’ 2021 paper on learning robot swarm tactics—cited 14 times—introduces a framework that integrates single-robot behaviors with high-level group primitives like task allocation and formation control, enabling missions such as target search and group coverage under dynamic threats. Their equally notable 2021 work on Scalable Coverage Path Planning (SCoPP) proposes a novel algorithm that delivers time-efficient, workload-balanced plans for multi-robot teams, explicitly handling discontinuities like no-fly zones. With a combined citation impact of 20 for these two flagship contributions, Collins is establishing a reputation for bridging theoretical planning with practical deployment challenges. Their research is particularly valuable for students and engineers seeking robust, scalable solutions for real-world multi-robot missions in complex, adversarial, or geometrically irregular environments.