Ryuma Matsumoto
Papers
2
Total Citations
6
H-Index
2
About
Ryuma Matsumoto is a robotics researcher focused on advancing multi-robot systems for planetary and terrestrial exploration. His work centers on distributed swarm robotics, where small, low-cost rovers collaborate to achieve tasks traditionally reserved for large, expensive single robots. Matsumoto’s key contributions include developing novel methods for position and attitude estimation among rover teams, such as using flash light signals from a leader agent to enable precise relative localization without heavy sensors. He also introduced the Swarm Probability Exploration Tracker (SPET), a stochastic framework that allows distributed robots to efficiently coordinate wide-area exploration under uncertainty. While his most-cited papers currently have 2–4 citations, reflecting an early-career stage, his ideas address critical challenges in scalability and robustness for swarm exploration. Matsumoto’s work is particularly notable for its potential impact on future planetary missions, where deploying many small rovers could dramatically increase exploration speed and resilience. His research bridges theoretical probability models with practical robotic systems, offering a promising path toward autonomous, distributed exploration of hazardous or remote environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2