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About

Jang Gyu Lee is a robotics and autonomous systems researcher whose work has made meaningful contributions to mobile robot navigation, localization, and control. His research spans three interconnected domains: nonholonomic control theory, sensor fusion for dead reckoning navigation, and occupancy grid-based path planning. Lee's most influential contribution addresses one of mobile robotics' fundamental challenges — point stabilization of nonholonomic mobile robots. His state-space exact feedback linearization approach, cited 58 times, offered a novel solution to a problem long considered intractable due to the restricted mobility imposed by nonholonomic constraints. Complementing this theoretical work, he developed practical navigation solutions using indirect Kalman filter schemes that fuse encoder and gyroscope data for robust dead reckoning, work that has garnered nearly 30 citations and remains relevant to autonomous mobile robot (AMR) design. His earlier investigations into grid-based world modeling and path planning, along with sonar-encoder data fusion for dynamic localization, demonstrate a consistent commitment to bridging theoretical control with real-world sensor integration. Collectively accumulating over 140 citations across his career, Lee's body of work represents a valuable foundation for researchers tackling autonomous navigation and mobile robot control problems.