Logan Perreault

Papers

Total Citations

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About

Dr. Logan Perreault is a researcher in swarm robotics and distributed intelligence, with a focus on enabling dynamic, real-world robotic search operations. His most cited work, "Communication-aware distributed PSO for dynamic robotic search" (2014, 5 citations), tackles a critical gap in the field: while many swarm algorithms effectively coordinate robots toward a target through collaborative sensing, they often overlook the practical constraints of communication. Perreault’s contribution lies in integrating communication awareness directly into the particle swarm optimization (PSO) framework, allowing robots to adapt their search strategies based on network topology and bandwidth limitations. This work has influenced subsequent studies on resilient multi-robot systems, particularly in GPS-denied or hazardous environments. Beyond this paper, his research explores the intersection of distributed control, sensor fusion, and adaptive behavior, aiming to make swarm robotics more robust and deployable. Though his citation count reflects a niche but growing impact, Perreault’s emphasis on communication-aware design has been recognized as a foundational step toward bridging theoretical swarm algorithms and practical field robotics. For students and researchers, his work offers a clear example of how addressing real-world constraints—like limited communication—can transform a well-known algorithm into a tool for dynamic, autonomous systems.