Yukinori Sato

Japan Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Yukinori Sato is a researcher in swarm robotics and decentralized multi-agent systems, with a focus on enabling heterogeneous robot teams to autonomously organize for cooperative tasks. His most-cited work, "Decentralized task-oriented local group generation for robot swarms" (2011), introduces a novel approach to the adjustable group generation problem, where robots must dynamically form task-specific subgroups without centralized control. Sato’s key contribution lies in proposing a decentralized scheme that combines group consensus and self-adjustment algorithms, allowing robots to locally negotiate and adapt their group compositions in real time. This work, cited 2 times, lays foundational groundwork for scalable, flexible swarm coordination—critical for applications like search-and-rescue or environmental monitoring. While his citation count is modest, the research addresses a persistent challenge in swarm intelligence: balancing local autonomy with global task efficiency. Sato’s work is notable for its emphasis on heterogeneity and real-time adaptability, offering practical insights for students and researchers exploring decentralized decision-making in robotics. His contributions underscore the potential of simple, local rules to solve complex coordination problems, making his research a valuable reference for those advancing autonomous multi-robot systems.