Hirofumi Ohtsuka
Papers
3
Total Citations
17
H-Index
2
About
Hirofumi Ohtsuka is a researcher whose work bridges multi-agent robotics, control engineering education, and high-speed bio-inspired actuation. His most cited paper, “Cooperative capture by multi-agent using reinforcement learning application for security patrol systems” (2015, 10 citations), addresses the classic pursuit-evasion problem by deploying autonomous robots to cooperatively enclose an intruder. This work applies reinforcement learning to real-world security patrol scenarios, contributing to the development of intelligent, decentralized robotic systems. Ohtsuka also focuses on engineering pedagogy, as seen in his 2007 paper on designing a system and control engineering curriculum using the growth of a line tracer robot—a practical, hands-on approach to teaching control theory. More recently, his 2018 study on the dynamic behavior of running insects introduces a novel high-speed robotic system that uses microdroplet ejection (100 μm droplets at 3 m/s) to manipulate ants on a 2D plane. This work demonstrates a creative fusion of precision actuation and biological observation. Though his citation counts are modest, Ohtsuka’s research shows a consistent thread of innovation in applying control and robotics to both practical security systems and fundamental biological studies.
Research Focus
Key Achievements
Top Papers
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