Jae-Sam Park

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About

Jae-Sam Park is a robotics and control systems researcher whose work focuses on the intersection of sliding mode control, adaptive algorithms, and intelligent control strategies for robotic systems. His research has made meaningful contributions to the challenge of achieving robust and precise trajectory control in robot manipulators — a fundamental problem in modern robotics engineering. Park's most recognized contribution, his 2001 paper on adaptive sliding mode control (cited 20 times), introduced novel adaptation laws capable of dynamically tuning both sliding mode gain and boundary layer thickness. This approach effectively addresses the persistent problem of discontinuous control inputs, improving robustness without sacrificing tracking accuracy. His earlier 1997 work pioneered the integration of fuzzy logic with sliding mode control, developing rule-based mechanisms that allow continuous, intelligent adjustment of control gain — enhancing system stability in uncertain environments. Together, these works reflect Park's commitment to bridging classical control theory with computational intelligence techniques. His research is particularly valuable to students and engineers working on motion control, human-robot interaction, and autonomous systems, offering practical frameworks for handling real-world nonlinearities and disturbances in robotic manipulator design.