Chang-Mug Lee

Korea University of Technology and Education

Papers

Total Citations

H-Index

About

Chang-Mug Lee’s research centers on human-robot interaction, with a particular focus on intuitive motion authoring and control systems. His most cited work, “A Robot Motion Authoring Using Finger-Robot Interaction,” introduces a user-friendly method that enables operators to create and control robot motion simply by varying the number of fingers used in interaction. This approach simplifies complex robotic programming, making it accessible to non-experts and advancing the field of gesture-based control. Though his citation count is modest, Lee’s contribution lies in bridging the gap between human dexterity and robotic responsiveness, offering a practical solution for real-time motion authoring. His work is notable for its emphasis on accessibility and efficiency, laying groundwork for future developments in interactive robotics. For students and researchers exploring human-robot interfaces, Lee’s research demonstrates how minimal input can yield sophisticated robotic behavior, highlighting the potential for more natural and inclusive interaction paradigms.