Toshihiro Kawakatsu

Tohoku University

Papers

12

Total Citations

193

H-Index

8

About

Toshihiro Kawakatsu is a robotics researcher whose work sits at the compelling intersection of decentralized control, modular robotics, and bio-inspired systems. His research is distinguished by a consistent commitment to harnessing emergent phenomena — the idea that complex, adaptive behaviors can arise from simple, local interactions among identical robotic modules, without the need for centralized coordination. Kawakatsu is perhaps best known for developing Slimebot, a two-dimensional modular robot whose morphology adapts to environmental conditions through fully decentralized algorithms, a contribution that has attracted over 44 citations in its most-cited form. His broader body of work explores how swarm robotics can draw inspiration from computational physics, applying molecular dynamics and Stokesian dynamics methods to engineer coherent collective behavior in autonomous robot swarms — work that has collectively garnered tens of citations across multiple publications. Beyond swarm and modular systems, Kawakatsu has investigated the fundamental relationship between control and body design, arguing for "well-balanced" coupling between mechanical and computational systems. His intestine-inspired robot, capable of situation-dependent transport and mixing behaviors, exemplifies his interest in translating biological principles into functional robotic designs. Across his career, Kawakatsu's research challenges the assumption that sophisticated robot behavior requires top-down control, offering instead elegant, physics-inspired alternatives.

Research Focus

Key Achievements

8
H-Index
12
Papers
193
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
A modular robot that exhibits amoebic locomotion
44 citations · 2006
📈 Most Prolific Year: 2005 (5 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Tohoku University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago