Papers
7
Total Citations
51
H-Index
5
About
Zhen Yu is a researcher focused on advancing the precision and reliability of industrial robotics through innovative metrology and control systems. His primary research areas include high-precision reducer testing, torque measurement, and adaptive control for robotic manipulators. Yu’s major contributions center on the design and calibration of comprehensive performance test instruments for industrial robot reducers—critical components that directly impact robot accuracy and longevity. For instance, his work on torque measurement systems (cited 11 times) and coupling misalignment diagnosis (12 citations) has provided practical solutions for minimizing measurement errors in vertical cylindrical detectors. He also developed an adaptive vision-based controller for rope-climbing robot manipulators (8 citations), addressing the unique challenges posed by deformable rope environments. More recently, Yu has tackled pose repeatability accuracy measurement using advanced optimization methods like the improved sparrow search algorithm (ISSA-IGCF-IHT), demonstrating his commitment to enhancing robot precision in intelligent manufacturing. With a growing body of work that bridges theoretical calibration techniques and real-world industrial applications, Yu’s research is essential for engineers and researchers aiming to improve the performance and reliability of robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3Adaptive Vision-Based Control for Rope-Climbing Robot Manipulator8 citations · 2019
- 4Torque Measurement of High‐Precision Reducer for Industrial Robot7 citations · 2021
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