Hirosuke Yasuki
Papers
2
Total Citations
6
H-Index
2
About
Hirosuke Yasuki is a researcher in the field of swarm robotics and distributed control systems, with a focus on solving complex environmental search problems. His work primarily addresses the challenges of **multi-source seeking** and **multi-extrema seeking**, where groups of autonomous robots must locate and converge on multiple points of interest—such as sources of hazardous leaks or temperature gradients—simultaneously. Yasuki’s key contributions include developing novel **distributed optimization** and **sample-variance control** algorithms that enable robot swarms to spread out intelligently and avoid clustering on a single target. His 2016 paper on "Multiple Extrema Seeking by Swarm Robots" and his 2017 work on "Multiple Source Seeking via Distributed Sample-Variance Control" each have garnered 3 citations, laying foundational groundwork for more efficient, decentralized search strategies. These contributions are particularly notable for their potential applications in disaster response, environmental monitoring, and industrial inspection, where rapid, autonomous identification of multiple hazards is critical. Yasuki’s research offers elegant solutions to the fundamental challenge of balancing exploration and exploitation in multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2