Yasushi Kambayashi
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
Top Papers
- 1Higher-Order Mobile Agents for Controlling Intelligent Robots41 citations · 2005
- 2Saving Energy Consumption of Multi-robots Using Higher-Order Mobile Agents36 citations · 2007
- 3Design of a Control System for Robot Shopping Carts19 citations · 2011
- 4Distributed formation control for swarm robots using mobile agents18 citations · 2015
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- 7Ant Colony Clustering Using Mobile Agents as Ants and Pheromone13 citations · 2010
- 8Formation Control of Swarm Robots Using Mobile Agents12 citations · 2019
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