Papers
17
Total Citations
223
H-Index
10
About
Dr. Yong-Lin Kuo is a leading researcher in robotics, with a primary focus on the modeling, control, and trajectory planning of parallel robot manipulators. His work is distinguished by a deep integration of mathematical modeling, advanced control theory, and computer vision to address critical challenges in robot precision and safety. A major contribution is the development of sophisticated control strategies, including force/position hybrid control and robust adaptive finite-time synergetic tracking control, to enhance accuracy and interaction safety. Dr. Kuo’s research also pioneers the use of monocular vision for pose determination and dynamic model-based collision detection, moving beyond traditional encoder-based methods. His most cited work, “Mathematical modeling and analysis of the Delta robot with flexible links” (44 citations), is foundational in the field. With over 190 total citations, his impact is evident across a portfolio of influential papers on Delta, Hexa, and 3RRR robots, demonstrating a sustained commitment to advancing both the theory and practical application of parallel robotics.
Research Focus
Key Achievements
Top Papers
- 1Mathematical modeling and analysis of the Delta robot with flexible links44 citations · 2016
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- 3Pose Determination of a Robot Manipulator Based on Monocular Vision20 citations · 2016
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