Papers
12
Total Citations
81
H-Index
5
About
Zhengmao Ye is a researcher whose work bridges the fields of robotics, biomedical engineering, and control systems. His key research areas include the modeling and control of parallel robots, biomedical sample identification using Raman spectroscopy, and haptic feedback systems for robotic integration. Ye’s most significant contribution is his pioneering work on the dynamics and control of spatial 6-DOF parallel robots, where he developed complex dynamic equations using Kane’s method and implemented PID controllers in Simulink—a paper that has garnered 19 citations. In biomedical engineering, he advanced the use of Raman spectroscopy combined with principal component analysis and fuzzy logic for tissue characterization and medical diagnosis, with his 2005 paper on PCA-based sample identification receiving 17 citations. Ye also contributed to haptic interface design for force feedback in virtual reality and robotic surgery applications. His work on fuzzy filtering and genetic algorithm optimization for Raman spectrum analysis further demonstrates his interdisciplinary approach. Notably, his 2018 study on a robot exoskeleton for post-stroke hand rehabilitation highlights his commitment to translating engineering innovations into clinical applications. With over 70 citations across his most-cited works, Ye’s research has had a meaningful impact on both robotics and biomedical diagnostics.
Research Focus
Key Achievements
Top Papers
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- 2Principal component analysis approach for biomedical sample identification17 citations · 2005
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- 8Advancing Laboratory Education in Control Engineering with Practical Implementation Approaches4 citations · 2009
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- 10A robot exoskeleton can improve hand function early after stroke2 citations · 2018