Cheol Kwon

Papers

Total Citations

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About

Cheol Kwon’s research centers on advancing robotic manipulation through intelligent control systems, with a particular focus on enhancing precision, stability, and adaptability in uncertain environments. His most cited work, “Tracking control of a robot manipulator using sliding mode controller with fast and accurate performance” (2003, 6 citations), addresses a fundamental challenge in variable structure control: eliminating the undesirable chattering effect while preserving the sliding mode controller’s robustness to modeling uncertainties and external disturbances. This contribution offers a practical pathway toward faster, more reliable trajectory tracking in robotic systems. In related work, “A stiffness control of a manipulator using a fuzzy model” (2002, 2 citations), Kwon introduces a novel method for determining PD gains via Takagi-Sugeno fuzzy identification, enabling robots to perform compliance tasks despite their inherent mechanical stiffness and unpredictable work environments. Though his citation counts are modest, Kwon’s research tackles core, persistent problems in robot control—robustness, chatter reduction, and adaptive stiffness—making his work relevant for engineers developing manipulators for manufacturing, service robotics, and human-robot interaction. His integration of sliding mode theory with fuzzy logic exemplifies a pragmatic, interdisciplinary approach to real-world robotic challenges.