Sun-Ku Kwon

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About

Sun-Ku Kwon is a pioneering researcher in the field of robotic mobility and adhesion control, with a focus on enhancing the stability and performance of wheeled robots in dynamic environments. His key research areas include adhesion force estimation, slip detection, and fuzzy logic-based control systems for autonomous navigation. Kwon’s major contribution is the development of a re-adhesion control algorithm that uses estimated adhesion force coefficients to mitigate slip states caused by varying floor conditions—such as sudden decreases in traction—enabling robots to maintain reliable movement. This work, highlighted in his 2005 paper “Re-adhesion control with estimated adhesion force coefficient for wheeled robot using fuzzy logic,” has garnered 10 citations, reflecting its foundational role in improving robot adaptability on low-friction surfaces. By integrating fuzzy logic with real-time force estimation, Kwon has advanced the safety and efficiency of indoor robotic systems, making his research particularly valuable for applications in logistics, service robots, and autonomous vehicles. His achievements underscore a commitment to solving practical mobility challenges, positioning him as a notable contributor to the intersection of control theory and robotics.