Yasushi Kambayashi

Nippon Institute of Technology, Tokyo University of Science

Papers

30

Total Citations

280

H-Index

10

About

Yasushi Kambayashi is a prominent researcher specializing in multi-robot systems, mobile agents, and swarm intelligence, whose work sits at the intersection of distributed computing and autonomous robotics. His most significant contribution is the development of higher-order mobile agents — hierarchically structured software agents capable of containing and coordinating other mobile agents — introduced in his influential 2005 paper (41 citations) as a novel framework for controlling Internet-connected intelligent robots. This foundational concept carried through much of his subsequent research, including energy-efficient multi-robot coordination and ant colony-inspired clustering algorithms applied to distributed robotic systems. Kambayashi has consistently drawn on bio-inspired computation, adapting ant colony optimization principles to govern robot behavior in ways that eliminate the need for centralized control. His work on swarm robot formation control, spanning both two-dimensional symbol representation (2015) and three-dimensional polyhedral structures (2019), demonstrates a sustained commitment to scalable, decentralized robotics. Practical applications such as robot shopping cart design further illustrate his interest in bridging theoretical frameworks with real-world deployment. With over 175 cumulative citations across his top works, Kambayashi's research offers valuable foundations for students exploring autonomous systems, distributed AI, and human-robot interaction.

Research Focus

Key Achievements

10
H-Index
30
Papers
280
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Higher-Order Mobile Agents for Controlling Intelligent Robots
41 citations · 2005
📈 Most Prolific Year: 2011 (4 Papers)
🤝 Key Collaborators: 32
🏛 Institutions: Nippon Institute of Technology, Tokyo University of Science

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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