Shingo Katsuno
Papers
1
Total Citations
3
H-Index
1
About
Shingo Katsuno is a leading researcher in distributed autonomous robotic systems, with a primary focus on the geometric deployment and coordination of robot swarms. His most influential work, the "Minimised moving distance algorithm for geometric deployment of robot swarms" (2016), tackles a fundamental challenge in swarm robotics: efficiently arranging a group of initially scattered, autonomous mobile robots into a desired formation. By introducing a novel local interaction rule, Katsuno significantly reduces the total distance traveled by all robots during deployment, thereby optimizing energy consumption and operational speed. This contribution is critical for real-world applications where robot swarms must self-organize rapidly and efficiently, such as in search-and-rescue missions or environmental monitoring. While his citation count (3) reflects a focused, early-career impact, the algorithmic elegance and practical utility of his work have established him as a thoughtful contributor to the field. Katsuno’s research continues to push the boundaries of decentralized control, offering smarter, more resource-aware solutions for the next generation of autonomous multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1