Kwang Bae Kim

Papers

Total Citations

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About

Kwang Bae Kim is a robotics researcher whose work focuses on intelligent control systems for industrial manipulators, particularly in the domain of force and position control. His most cited paper, "Fuzzy rule based position/force control of industrial manipulators" (2002, 10 citations), introduces a novel method that integrates fuzzy logic with PI gain tuning to enhance the transient force response of robot arms equipped with wrist force/torque sensors and position servo drives. This contribution addresses a critical challenge in manufacturing and automation: achieving precise, adaptive control when robots interact with their environment. By proposing fuzzy rule-based adjustments, Kim's work enables smoother and more reliable force regulation, which is essential for tasks like assembly, grinding, or delicate material handling. While his citation count reflects a focused niche, his research has practical implications for improving the dexterity and safety of industrial robots. Kim's approach stands out for its simplicity and effectiveness, offering a bridge between classical control theory and modern soft computing techniques. For students and researchers in robotics and mechatronics, his work provides a clear example of how fuzzy logic can solve real-world control problems in automation.