Papers
7
Total Citations
50
H-Index
4
About
Yinghao Zhou is a leading researcher in the field of industrial robotics, with a primary focus on high-precision machining, mobile milling robots, and calibration methodologies. His work addresses critical challenges in large-scale component manufacturing, particularly the low stiffness and positioning inaccuracies that limit serial robots in milling tasks. Zhou’s most influential contribution is a simple, rapid calibration methodology for industrial robots, published in 2018 and cited 18 times, which uses geometric constraints and two-step error identification to enable online compensation and closed-loop feedback control. He further advanced the field with a method for improving the accuracy of NC-driven mobile milling robots (15 citations), integrating bus communication architectures and grating closed-loop control to overcome controller openness and data communication limitations. Zhou has also optimized comprehensive stiffness performance for milling robots (5 citations) and developed real-time positioning accuracy compensation strategies using Latin hypercube sampling and multivariate nonlinear mapping models. His work on numerical control systems for unstructured machining environments has been pivotal in enabling flexible, high-precision manufacturing of large complex components, such as multi-support cabins. Zhou’s research is essential reading for engineers and researchers seeking to enhance robot accuracy and stiffness in industrial applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Method for Improving Accuracy of NC-driven Mobile Milling Robot15 citations · 2021
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- 5Real-time Compensation Strategy of Mobile Robot Positioning Accuracy3 citations · 2022
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