Dong‐Geol Lee
Papers
2
Total Citations
19
H-Index
2
About
Dong-Geol Lee is a leading researcher in soft robotics and surgical automation, with a focus on developing intelligent, flexible systems for minimally invasive procedures. His work addresses critical challenges in continuum robot control, particularly in navigating complex anatomical pathways and compensating for nonlinear mechanical behaviors. Lee’s 2023 study on high-curvature consecutive tip steering for soft growing robots (10 citations) introduces a novel approach to enhance target reachability in tortuous environments, advancing the capabilities of these devices for medical and industrial applications. In 2022, he developed a learning-based discrete hysteresis classifier using wire tension and compensator for flexible endoscopic surgery robots (9 citations), which improves precision by modeling and correcting the nonlinear effects of cable-driven actuation. These contributions demonstrate Lee’s expertise in integrating machine learning with mechanical design to overcome fundamental limitations in soft robotics. His work is highly cited for its practical impact on surgical robotics, offering pathways to safer, more dexterous tools for complex interventions. Lee’s research continues to push the boundaries of autonomous and teleoperated robotic systems.
Research Focus
Key Achievements
Top Papers
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