About

Tetsushi Kamegawa is a prominent robotics researcher whose work has fundamentally advanced the fields of search-and-rescue robotics, snake-like robot locomotion, and medical robotics. He is perhaps best known for pioneering the development of snake-like rescue robots, most notably the "KOHGA" platform (2004, 190 citations), which introduced a modular, multi-crawler architecture capable of navigating dangerously confined disaster environments. His subsequent refinement, "KOHGA2," addressed critical mechanical limitations by incorporating stuck-avoidance capabilities, demonstrating his commitment to practical, field-deployable systems. Kamegawa's research has significantly expanded snake robot locomotion theory, exploring helical rolling motion inside pipes, screw-drive mechanisms for omnidirectional mobility, and sound-based localization techniques for autonomous in-pipe inspection. His 2019 work on separable search-and-rescue robots further pushed boundaries by enabling a snake robot to detach from a mobile platform and operate independently as a multi-agent system. Notably, Kamegawa has also bridged robotics and medicine, contributing to CT-guided robotic needle insertion systems that demonstrated real clinical feasibility in both animal experiments and first-in-human trials. With over 700 cumulative citations across his most influential works, his research represents a compelling intersection of mechanical innovation, autonomous navigation, and life-saving application.

Research Focus

Key Achievements

20
H-Index
64
Papers
1,324
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Development of the snake-like rescue robot "kohga"
190 citations · 2004
📈 Most Prolific Year: 2017 (7 Papers)
🤝 Key Collaborators: 131
🏛 Institutions: Tokyo Institute of Technology, Okayama University, Okayama University of Science, International Rescue System, Okayama University Hospital

Top Papers

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    Snake robots to the rescue!
    88 citations · 2002
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 34 days ago