Sin-ichiro Nishida
Papers
2
Total Citations
6
H-Index
2
About
Sin-ichiro Nishida is a researcher in distributed robotics and swarm intelligence, with a focus on multi-agent systems for environmental exploration and source localization. His work addresses the challenge of enabling robot swarms to autonomously identify and converge on multiple targets—such as chemical leaks or temperature anomalies—without centralized coordination. Nishida’s key contributions include developing distributed optimization algorithms that allow swarm robots to perform multiple extrema seeking, as demonstrated in his 2016 paper, and advancing sample-variance control methods for multiple source seeking, published in 2017. These approaches ensure that robots spread out to cover distinct sources rather than clustering on a single one, improving efficiency in hazardous event detection. While his citation counts are modest, his research lays foundational groundwork for scalable, decentralized robotic systems. Nishida’s work is particularly notable for bridging control theory and swarm robotics, offering practical solutions for environmental monitoring and disaster response. His contributions are valuable for students and researchers interested in distributed decision-making, multi-robot coordination, and the intersection of optimization and robotics.
Research Focus
Key Achievements
Top Papers
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