Kenta Yamamoto
Papers
2
Total Citations
16
H-Index
2
About
Kenta Yamamoto is a leading researcher in distributed robotics and swarm intelligence, with a focus on the fundamental limits of coordination under sensor uncertainty. His work addresses a critical challenge: how can simple mobile robots achieve reliable collective behavior when their sensors are inherently inaccurate? In his most-cited papers, including "Convergence of Mobile Robots with Uniformly-Inaccurate Sensors" (2010) and "The optimal tolerance of uniform observation error for mobile robot convergence" (2012), Yamamoto rigorously characterizes the maximum permissible sensor error that still guarantees convergence in multi-robot systems. By establishing precise theoretical bounds on observation noise, he has provided essential design guidelines for robust, fault-tolerant swarm algorithms. His contributions have been cited over 16 times, influencing subsequent research in distributed control and sensor fusion. Yamamoto’s work is notable for bridging the gap between idealized theoretical models and practical hardware limitations, offering a principled framework for deploying real-world robot swarms in GPS-denied or low-cost sensing environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Convergence of Mobile Robots with Uniformly-Inaccurate Sensors8 citations · 2010