Yusuke Tsunoda
Papers
9
Total Citations
46
H-Index
5
About
Yusuke Tsunoda’s research pioneers bio-inspired swarm robotics, focusing on how minimal control agents can guide large groups through indirect interactions. His core contributions lie in shepherding-type navigation, where a small number of “sheepdog” robots steer autonomous “sheep” agents—a principle drawn from natural herding systems. Tsunoda’s work demonstrates that this approach can scale to hundreds of agents, with key papers like “On statistical analysis for shepherd guidance system” (10 citations) and “Sheepdog-type robot navigation: Experimental verification based on a linear model” (6 citations) establishing theoretical and experimental foundations. He also innovates in acoustic field-based navigation, using sound-obstacle interactions to guide robots without complex controllers, as seen in “Experimental Analysis of Acoustic Field Control-Based Robot Navigation” (6 citations) and “Verification of Acoustic-Wave-Oriented Simple State Estimation” (6 citations). Notably, his 2024 paper “GREEMA” proposes a growing robot that consumes environmental materials for landslide disaster response, showcasing his commitment to real-world applications. With over 40 citations across his most-cited works, Tsunoda’s research bridges theoretical modeling and practical experimentation, offering scalable, robust solutions for disaster robotics and multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1On statistical analysis for shepherd guidance system10 citations · 2017
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- 3Experimental Analysis of Acoustic Field Control-Based Robot Navigation6 citations · 2019
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