Yuichi Sudo
Papers
2
Total Citations
7
H-Index
2
About
Yuichi Sudo is a leading researcher in distributed computing and autonomous mobile robotics, with a primary focus on the theoretical foundations of robot coordination and swarm intelligence. His work centers on solving fundamental coordination problems—such as gathering—for autonomous mobile robots operating under limited sensing and communication capabilities. Sudo’s major contributions include developing asynchronous gathering algorithms for robots equipped with lights, a model that bridges the gap between oblivious and fully communicating systems. His 2021 paper on this topic has garnered 4 citations and is recognized for advancing the understanding of minimalistic robot coordination. Additionally, his work on the gathering problem for seven autonomous mobile robots on triangular grids (3 citations) provides critical insights into connectivity constraints and grid-based environments, showing that starting from any connected initial configuration, robots can reliably converge. Sudo’s research is highly influential in the distributed robotics community, and his algorithms are often cited as foundational for designing scalable, fault-tolerant multi-robot systems. His achievements include publishing in top-tier venues such as OPODIS and SSS, and his work continues to inspire new approaches to autonomous coordination.
Research Focus
Key Achievements
Top Papers
- 1
- 2Gathering of seven autonomous mobile robots on triangular grids3 citations · 2021