Yoshiki Matsuo
Tokyo Institute of Technology, Tokyo University of Technology
Papers
14
Total Citations
84
H-Index
6
About
Yoshiki Matsuo is a pioneering researcher in collective robotics and human-machine cooperation, whose work has fundamentally shaped how autonomous robot swarms can be controlled and coordinated. His primary research areas include multi-robot systems, swarm intelligence, and human-robot interaction, with a particular focus on developing simple yet effective control mechanisms for robot collectives. Matsuo's most influential contribution is his development of virtual force-based control methods for autonomous mobile robot herds, enabling collective behaviors such as migration, shape formation, and internal movement control without complex communication protocols. His 2004 paper on this topic has garnered 14 citations and remains foundational in the field. He also introduced the innovative "S3 RoboNet" system for victim search in disaster zones, demonstrating the practical applications of his swarm control theories. Matsuo's work on human-machine cooperation systems for skilled tasks, such as cutting operations, bridges the gap between human expertise and robotic assistance. His research on cognitively inspired reinforcement learning for complex motion control, including giant-swing movements, showcases his versatility. As a key contributor to Tokyo Institute of Technology's Super-Mechano Colony project, Matsuo has advanced the frontiers of collective robotics, with his papers collectively cited over 70 times across multiple domains of autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
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- 3On Collective Manual Control of Autonomous Mobile Robots9 citations · 2006
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- 5Design of a human-machine cooperation system to facilitate skilled work8 citations · 2003
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- 9On sensing and control methods for super-mechano colonies5 citations · 2003
- 10