Ryuhei Mikumo
Papers
1
Total Citations
5
H-Index
1
About
Ryuhei Mikumo is a researcher in robotics and control systems, with a primary focus on multi-agent coordination and autonomous navigation. His most notable contribution is the development of a model predictive control (MPC) approach for dynamic collision avoidance among multiple mobile robots, detailed in his 2017 paper. This work addresses the critical challenge of enabling robots to safely navigate shared environments by implementing a decentralized control law, where each robot independently solves an MPC problem with constraints designed to prevent collisions with others. The approach is validated through numerical simulations demonstrating successful goal-reaching from a starting point. While his citation count remains modest, Mikumo’s research lays important groundwork for scalable, real-time coordination in multi-robot systems, with potential applications in warehouse automation, drone swarms, and autonomous transportation. His work contributes to the broader field of distributed control, offering a practical framework for ensuring safety and efficiency in crowded robotic environments.
Research Focus
Key Achievements
Top Papers
- 1