Michio Sugeno

Papers

Total Citations

H-Index

About

Michio Sugeno is a pioneering figure in computational intelligence and control systems, best known for his foundational work in fuzzy logic and its applications to robotics and brain-machine interfaces. His research spans fuzzy control, non-holonomic systems, and neural engineering, with a particular focus on bridging human cognition and machine behavior. One of his notable contributions includes the development of a micro robot control system using electroencephalograms (EEGs) from the right frontal area, demonstrating how brain activity during character recognition—such as directional Kanji symbols—can be harnessed for intuitive robotic control. This work, cited 22 times, highlights his innovative approach to integrating neuroscience with robotics. Additionally, Sugeno advanced tracking control for non-holonomic car-like robots through dynamic feedback linearization based on piecewise bilinear models, achieving precise trajectory following despite complex constraints. His methods have influenced adaptive control strategies in autonomous systems. With a career marked by interdisciplinary impact, Sugeno’s research continues to inspire students and researchers exploring the frontiers of intelligent systems, offering practical pathways for human-robot interaction and nonlinear control.