Papers
17
Total Citations
494
H-Index
9
About
Ken Sugawara is a pioneering researcher in swarm robotics and complex systems, whose work has profoundly shaped our understanding of collective intelligence and emergent behavior in both biological and artificial systems. Over more than two decades, he has focused on modeling self-organized behavior, drawing inspiration from natural phenomena such as ant foraging to design sophisticated multi-robot systems capable of cooperative task performance. His most influential contributions include foundational work on mathematical modeling of self-driven particles — including foraging ants and pedestrians — which has garnered over 113 citations, and his development of virtual pheromone-based communication frameworks for robot swarms, cited more than 100 times. These studies established critical principles for how simple robotic agents can achieve complex group behaviors without centralized control. His 1997 paper on cooperative acceleration in multi-robot foraging remains a landmark in the field, demonstrating measurable performance gains through inter-agent interaction. Sugawara's later research expanded into granular convection-based object transport, dynamic equilibrium structures with semi-active blocks, and casualty-based cooperation strategies, reflecting a continuously evolving research agenda. His cumulative body of work has significantly advanced swarm robotics as a discipline, offering both theoretical insights and practical design principles for engineers and researchers worldwide.
Research Focus
Key Achievements
Top Papers
- 1Modelling of self-driven particles: Foraging ants and pedestrians113 citations · 2006
- 2Collecting Behavior of Interacting Robots with Virtual Pheromone107 citations · 2008
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- 5Object Transportation by Granular Convection Using Swarm Robots14 citations · 2014
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- 10Casualty-based cooperation in swarm robots6 citations · 2018