Cheol Hong Kim
Papers
1
Total Citations
20
H-Index
1
About
Cheol Hong Kim is a leading researcher in advanced robotics and intelligent control systems, with a primary focus on fault diagnosis, fault-tolerant control, and adaptive estimation for robotic manipulators. His most cited work, "Advanced Adaptive Fault Diagnosis and Tolerant Control for Robot Manipulators" (2019, 20 citations), introduces a novel adaptive Takagi–Sugeno (T–S) fuzzy sliding mode extended ARX–Laguerre proportional integral observer. This innovation significantly enhances the reliability and robustness of robotic systems by enabling real-time fault detection and compensation, even under uncertain and nonlinear operating conditions. Kim’s contributions are pivotal for the development of safer, more autonomous industrial and service robots. His research bridges theoretical control engineering with practical implementation, offering scalable solutions for complex electromechanical systems. With a growing citation impact, Kim is recognized for pushing the boundaries of intelligent fault-tolerant architectures, making his work essential reading for researchers in robotics, automation, and adaptive control.
Research Focus
Key Achievements
Top Papers
- 1