Dong-Huk Lee

Korea Institute of Industrial Technology

Papers

Total Citations

H-Index

About

Dong-Huk Lee is a robotics researcher whose work centers on advancing bimanual manipulation and human-robot collaboration, with a particular focus on transferring complex human tasks to dual-arm robotic systems. His most-cited paper, "Dual-arm robot box taping with kinesthetic teaching" (2016, 7 citations), demonstrates a key contribution: using kinesthetic teaching—a form of intuitive, hands-on programming—to enable robots to learn and replicate the intricate, bimanual task of box taping. This work addresses a critical gap in robotics, where dual-arm systems often struggle with tasks requiring coordinated, dexterous movements. By showing that humans can physically guide a robot through a task, Lee’s research makes robot programming more accessible and practical for industrial settings, reducing the need for specialized coding. While his citation count is modest, his focus on real-world applicability and user-friendly teaching methods is notable, particularly in the context of recent advances in anthropomorphic robots. Lee’s work contributes to a growing body of research that aims to make robots more adaptable and capable of performing everyday manual tasks, bridging the gap between human skill and robotic execution.