Papers
4
Total Citations
15
H-Index
3
About
Jongsoo Lee is a researcher whose work bridges robotics, control systems, and design optimization, with a focus on enhancing the performance and reliability of autonomous and industrial robots. His key research areas include sliding mode control for robot manipulators, multi-objective optimization in manufacturing, and autonomous navigation using visual and infrared sensing. Lee’s major contributions include developing an efficient sliding mode control strategy that ensures prescribed tracking performance for highly nonlinear robot manipulators, addressing chattering issues through disturbance observer techniques—a foundational work cited 5 times. He also advanced design optimization by applying approximate multi-objective methods to robot casting, balancing deflection, weight, and cost, while integrating quality engineering for robustness, as seen in his 2013 study comparing design reliability. Additionally, Lee explored terrain image segmentation in the infrared spectrum for autonomous robot navigation, contributing to safer and more adaptable ground vehicles in challenging environments. Though his citation counts are modest, his work demonstrates a practical, systems-level approach to solving real-world engineering challenges, making him a valuable contributor to the fields of robotics and mechanical design optimization.
Research Focus
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