Jin Woong Lee
Papers
2
Total Citations
4
H-Index
2
About
Jin Woong Lee is an emerging researcher specializing in advanced control systems for robotic manipulators, with a particular focus on adaptive sliding mode control (ASMC) and intelligent estimation techniques. His work addresses one of the fundamental challenges in robotics: managing model uncertainties and external disturbances that inevitably affect the dynamic equations governing robot manipulator behavior. Lee's most notable contributions center on the development of novel adaptive laws incorporating quasi-convex functions and innovative sliding variables, offering more robust and mathematically principled frameworks for controlling robotic systems. His 2024 paper introduced a pioneering ASMC scheme leveraging these quasi-convex functions alongside time-delay estimation, while his 2025 follow-up work extended this foundation by integrating neural network-enhanced time-delay estimation — allowing the controller to more accurately compensate for estimation errors by exploiting both historical and current error information. Although early in his research career with his most-cited works each accumulating 2 citations, Lee's research trajectory reflects a meaningful progression toward intelligent, adaptive robotic control. His combination of mathematical rigor and practical applicability positions him as a promising contributor to the fields of robotics, control theory, and machine learning-assisted automation. Students exploring advanced robotic control methodologies will find his work a valuable reference point.
Research Focus
Key Achievements
Top Papers
- 1
- 2