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About

Tae-Seok Jin is a robotics researcher whose work has made significant contributions to the fields of mobile robot navigation, autonomous control systems, and intelligent space technologies. With a career spanning over a decade of influential publications, Jin has focused primarily on developing sophisticated algorithms that enable mobile robots to navigate complex, dynamic environments safely and efficiently. Jin's most recognized contribution, "Obstacle Avoidance of Mobile Robot Based on Behavior Hierarchy by Fuzzy Logic" (2012, 27 citations), introduced an innovative navigation algorithm that leverages ultrasonic sensors and fuzzy logic to guide robots through unknown environments without relying on traditional sensor fusion methods. This work, alongside his fuzzy controller designs and Lyapunov-based path-following techniques, helped advance the reliability and intelligence of autonomous mobile systems. Beyond navigation, Jin made notable strides in human-robot interaction, exploring how robots can follow and respond to humans within sensor-rich intelligent spaces, as demonstrated in his distributed sensor positioning work (2006, 23 citations). His earlier research on internet-based teleoperation and force-reflection further highlighted his range across remote robotics applications. Collectively accumulating over 165 citations, Jin's body of work reflects a sustained commitment to bridging theoretical control systems with practical autonomous robotics, making his research a valuable reference for students and engineers working in intelligent robotic systems.