Papers
7
Total Citations
31
H-Index
4
About
Yoshiro Fukui is a robotics researcher whose work spans autonomous transportation, nonlinear control, and space robotics. His primary contributions lie in developing novel control strategies for complex robotic systems, particularly through the "minimum projection method" for nonsmooth control Lyapunov function design—a framework he has refined across multiple papers (2010, 2015) to enable global asymptotic stabilization on manifolds. Fukui’s practical impact is evident in his 2008 work on genetics-based machine learning for AGV transportation systems (8 citations), where he proposed decentralized route planning to minimize collision risks under uncertain delivery requests. He has also advanced finite-time PD control with adaptive gravity compensation for robot manipulators (2016, 7 citations), offering faster convergence than conventional methods. In space robotics, his 2022 study on deorbiting satellites using free-flying robots (3 citations) addresses critical debris mitigation challenges through combined positioning and impedance control. More recently, his 2023 modeling of belt-driven silicon wafer transfer robots (2 citations) tackles static friction effects for high-precision semiconductor manufacturing. With a career characterized by bridging theoretical control theory with real-world applications—from factory floors to orbital debris removal—Fukui demonstrates how rigorous mathematical foundations can solve pressing engineering problems.
Research Focus
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