Papers
11
Total Citations
125
H-Index
5
About
Yung-Hsiang Chen is a researcher whose work spans two distinct domains: bioanalytical chemistry and autonomous mobile robotics. His early, highly cited contribution, "Semi-automatic high-throughput determination of plasma protein binding" (71 citations), established a foundation in pharmaceutical analysis. However, the core of Chen's research lies in advancing the trajectory tracking control of wheeled mobile robots. He has made significant theoretical contributions by developing novel, closed-form nonlinear control laws—including robust, adaptive H2, and fuzzy approaches—that address the trajectory tracking problem for nonholonomic robots in the presence of modeling uncertainties. A key achievement is his design of a closed-form H2 nonlinear control law for swarms of intelligent robots, demonstrating scalability. Chen’s work is distinguished by its focus on practical, implementable solutions, as seen in his application of machine vision for a two-wheeled robot trailer in strip farming and an energy-saving control approach for autonomous mobile robots. His research also extends to robotic-assisted surgery, with a study on robotic radical prostatectomy outcomes. With over 120 total citations, Chen’s impact is evident in providing robust, simple-structured control laws that bridge theoretical design and real-world deployment in agriculture, manufacturing, and beyond.
Research Focus
Key Achievements
Top Papers
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- 2Wheeled mobile robot design with robustness properties14 citations · 2018
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- 10Nonlinear hybrid control design of three-joint dual finger robots2 citations · 2017