Chang‐Ho Hyun
Papers
9
Total Citations
186
H-Index
6
About
Chang-Ho Hyun is a robotics and control systems researcher whose work has made significant contributions to the fields of mobile robot navigation, robust control theory, and intelligent systems. His research is primarily focused on solving one of the most persistent challenges in wheeled mobile robotics: the unpredictable effects of skidding and slipping during real-world operation. By treating these phenomena as measurable disturbances rather than uncontrollable noise, Hyun pioneered several innovative control frameworks, including a Generalized Extended State Observer (GESO) approach (69 citations), a Lyapunov redesign-based backstepping method (34 citations), and a Fuzzy Disturbance Observer (FDO) technique (25 citations), collectively establishing him as a leading voice in robust mobile robot tracking control. Beyond wheeled robots, Hyun has extended his expertise to underactuated systems, developing neural network and virtual angle-based adaptive controllers for ball-balancing robots, and early in his career contributed adaptive Takagi-Sugeno fuzzy control methods for flexible joint manipulators. His vision sensor-driven guidance algorithm for indoor AGVs (22 citations) further demonstrates his breadth across perception and autonomous navigation. With over 180 cumulative citations, Hyun's body of work offers essential reading for researchers tackling real-world robustness in autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4Vision Sensor-Based Driving Algorithm for Indoor Automatic Guided Vehicles22 citations · 2013
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