Papers
6
Total Citations
189
H-Index
4
About
Seiichi Shin is a pioneering researcher in decentralized control systems and autonomous robotics, with a focus on swarm intelligence and path planning. His major contributions lie in developing artificial potential function (APF) frameworks for self-organizing multi-agent systems, enabling decentralized flocking and formation control without centralized coordination. His seminal 2006 paper, "Decentralized Control of Autonomous Swarm Systems Using Artificial Potential Functions," has garnered 128 citations, establishing foundational design guidelines for swarm robotics. Shin also advanced local path planning by introducing novel repulsive potential functions with angle distributions, allowing robots to navigate obstacles more efficiently by varying repulsive forces based on goal direction—a concept detailed in his 2006 work (21 citations). Beyond theoretical contributions, he has engaged in standardization efforts for industrial automation, chairing a SICE committee supported by organizations like MSTC and JEMIMA, and has explored control assistance systems for robotic rovers. His work bridges rigorous analytical design with practical applications, influencing both academic research and industrial practices in autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 5What are the standards in Industrial Automation sector4 citations · 2009
- 6Assistance systems for the control of Rovers2 citations · 2008