Ju-Hyeong Lee
Papers
1
Total Citations
6
H-Index
1
About
Ju-Hyeong Lee is a researcher whose work sits at the intersection of robotics, manufacturing, and dynamic systems. His primary research focus is on the modeling and identification of machining robots, with a particular emphasis on improving their precision and performance through advanced parameter estimation techniques. Lee’s most notable contribution is his 2023 paper, "Model Parameter Identification of a Machining Robot Using Joint Frequency Response Functions," which has already garnered 6 citations—a strong early impact indicator for a recent publication. In this work, he developed a method to accurately identify robot model parameters by leveraging joint frequency response functions, a critical step for enhancing the accuracy of robotic machining operations. This approach addresses a key challenge in industrial robotics: the need for precise dynamic models to control vibrations and improve machining quality. Lee’s research is particularly valuable for advancing the use of robots in high-precision manufacturing, where even minor inaccuracies can lead to significant defects. His work stands out for its practical relevance and methodological rigor, making him a promising voice in the field of robotic machining and dynamic system identification.
Research Focus
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Top Papers
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