Papers
29
Total Citations
261
H-Index
9
About
Munehiro Takimoto is a researcher whose work sits at the intersection of multi-robot systems, mobile agent computing, and swarm intelligence. His research has fundamentally advanced how distributed robotic systems are coordinated and controlled, with a particular focus on leveraging mobile software agents as a flexible and efficient alternative to centralized control architectures. Takimoto's most influential contribution, "Higher-Order Mobile Agents for Controlling Intelligent Robots" (2005, 41 citations), introduced a hierarchically structured agent framework enabling coordinated robot control over internet-connected networks — a novel approach that set the foundation for much of his subsequent work. Building on this, he explored energy efficiency in multi-robot systems, demonstrating that mobile agents can significantly reduce power consumption, a practically vital concern in robotics deployment. A recurring theme throughout his career is swarm robotics, with contributions to formation control algorithms enabling robots to collectively construct two- and three-dimensional geometric structures. His integration of ant colony optimization with mobile agent systems, reflected in multiple publications from 2009 to 2011, showcased his skill in combining bio-inspired algorithms with distributed computing paradigms. With a cumulative citation profile exceeding 185 citations, Takimoto's research offers valuable frameworks for students and engineers working on autonomous, networked robotic systems.
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
- 3Distributed formation control for swarm robots using mobile agents18 citations · 2015
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- 6Ant Colony Clustering Using Mobile Agents as Ants and Pheromone13 citations · 2010
- 7Formation Control of Swarm Robots Using Mobile Agents12 citations · 2019
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