Max Robotics — Global Service Robot Directory + US Certification

About

Jaewook Lee’s research centers on intelligent control systems for robotic manipulators, with a focus on adaptive control, sliding mode control, and fuzzy logic. His major contributions include developing a multiple neuro-adaptive controller that uses visual cues to switch or blend control skills for uncertain robot systems, and pioneering the use of time-varying sliding surfaces in variable structure controllers to ensure robust performance from the initial state. He also advanced resolved motion rate control for redundant robots by integrating fuzzy logic to simplify the computationally intensive pseudo-inverse of the Jacobian matrix, and designed efficient sliding mode controllers with disturbance observers to eliminate chattering. With his most-cited papers accumulating over 49 citations, Lee’s work has influenced the practical implementation of robust, real-time control in robotics. His notable achievements include demonstrating how visual information can enable adaptive skill switching, and providing mathematically elegant solutions to long-standing challenges in sliding mode control, making his research highly relevant for students and engineers working on autonomous robot manipulation.