Papers

3

Total Citations

29

H-Index

2

About

Chaoyang Wei is a leading researcher in ultra-precision optical manufacturing, specializing in robotic polishing and surface error suppression. His work addresses a critical challenge in high-performance optics: eliminating midspatial frequency (MSF) errors—often called "ripple errors"—that degrade optical system performance. Wei’s major contributions include developing a high-efficiency pseudo-random path planning method that smooths polishing trajectories to suppress ripple, a technique that has garnered 23 citations for its practical impact. He further advanced the field with a plug-and-play positioning error compensation model for industrial robots, enabling cost-effective, high-precision polishing despite robotic inaccuracies. Most notably, Wei introduced a statistical, self-adaptive processing framework that treats chaotic fabrication errors as predictable patterns, allowing real-time decision-making to correct surface imperfections—a paradigm shift from traditional physical modeling. With over 29 citations across his key works, Wei’s research bridges theoretical insight and industrial application, offering robust solutions for fabricating next-generation optics. His innovative approach to error perception and adaptive control positions him as a pivotal figure in advancing computer-controlled polishing for demanding optical systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
29
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
High-efficiency smooth pseudo-random path planning for restraining the path ripple of robotic polishing
23 citations · 2021
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Chinese Academy of Sciences, University of Chinese Academy of Sciences

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago