Yuichiro SUEOKA
Papers
22
Total Citations
96
H-Index
6
About
Yuichiro Sueoka is a pioneering researcher in bio-inspired swarm robotics, specializing in shepherding-type navigation and multi-agent control systems. His work draws inspiration from natural phenomena, particularly the sheepdog-flock interaction, to develop innovative robot navigation strategies. Sueoka's major contributions include the analysis and experimental verification of sheepdog-type robot navigation for goal-lost situations, where a small number of control agents guide a larger population of robots. His research on statistical analysis for shepherd guidance systems has provided foundational insights into group navigation dynamics. With over 66 citations across his most-cited papers, Sueoka's impact is evident in his exploration of acoustic-wave-oriented state estimation for swarm navigation and the development of snake-like robots with controllable side-thrust links. His notable achievements include experimental validations of shepherding-type navigation utilizing sound-obstacle interaction, demonstrating practical applications in disaster response and search-and-rescue operations. Sueoka's interdisciplinary approach, combining robotics, control theory, and biological inspiration, continues to advance the field of autonomous multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1Analysis of Sheepdog-Type Robot Navigation for Goal-Lost-Situation14 citations · 2018
- 2On statistical analysis for shepherd guidance system10 citations · 2017
- 3
- 4Experimental Analysis of Acoustic Field Control-Based Robot Navigation6 citations · 2019
- 5
- 6
- 7
- 8
- 9
- 10