S. Shibata
Papers
2
Total Citations
26
H-Index
2
About
S. Shibata is a pioneering researcher in self-organizing manufacturing systems and distributed robotics, with a focus on flexible transfer systems (FTS) that can autonomously adapt to dynamic environments. Their most influential work, "Distributed control of flexible transfer system (FTS) using learning automata" (2003, 23 citations), introduced a novel framework where autonomous robotic modules self-organize through a multilayer strategic vector field to efficiently transfer palettes carrying objects. This contribution demonstrated how learning automata can enable decentralized decision-making, allowing the system to maintain high performance even under sudden environmental changes. Shibata further advanced this line of research in "Hybrid approach of genetic algorithms and learning automata for flexible transfer system" (2003, 3 citations), combining evolutionary optimization with reinforcement learning to balance efficiency and flexibility. Their work is notable for bridging theoretical concepts in self-organization with practical manufacturing challenges, offering scalable solutions for modern production lines. Shibata’s research has laid foundational groundwork for adaptive robotic systems, inspiring subsequent studies in distributed control and intelligent manufacturing. Their contributions remain relevant for students and researchers exploring autonomous multi-agent systems and adaptive industrial automation.
Research Focus
Key Achievements
Top Papers
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