Yoshinori Sano
Papers
1
Total Citations
10
H-Index
1
About
Yoshinori Sano is a leading researcher in decentralized robotic systems, with a primary focus on multi-agent coordination, swarm intelligence, and heterogeneous robot navigation. His most-cited work, “Decentralized navigation and collision avoidance for robotic swarm with heterogeneous abilities” (2022, 10 citations), introduces a novel distributed framework that enables robots with diverse sensing ranges and speeds to safely navigate and avoid collisions without centralized control. In this approach, each agent autonomously builds and maintains local directed connections, allowing the swarm to adapt in real time to individual differences—a critical step toward scalable, real-world robotic teams. Sano’s contributions address fundamental challenges in swarm robotics, particularly how to ensure robust performance when agents are not identical. His work has been recognized for its practical implications in search-and-rescue, environmental monitoring, and autonomous logistics. By bridging theory and application, Sano continues to shape the future of resilient, decentralized robotic systems, inspiring new directions in cooperative autonomy and intelligent multi-agent coordination.
Research Focus
Key Achievements
Top Papers
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