Xiangchao Zhang

Fudan University

Papers

4

Total Citations

101

H-Index

4

About

Xiangchao Zhang is a leading researcher in ultra-precision manufacturing, specializing in robotic polishing of large optics. His work addresses a critical challenge: industrial robots offer cost-effective, intelligent alternatives to conventional polishing machines, but suffer from low control accuracy. Zhang’s major contributions include developing a region-adaptive path planning algorithm that optimizes tool paths for precision optical polishing (29 citations), and pioneering an in-situ deflectometric measurement technique for transparent optics during robotic polishing (29 citations). He also advanced edge control through space-variant deconvolution (27 citations) and systematically analyzed how pad wear affects the tool influence function in polishing large optics (16 citations). These innovations have significantly improved surface quality and process reliability, making robotic polishing more viable for high-end optical components. Zhang’s work is highly cited and foundational for researchers and engineers seeking to bridge the gap between industrial robotics and ultra-precision manufacturing.

Research Focus

Key Achievements

4
H-Index
4
Papers
101
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Region-adaptive path planning for precision optical polishing with industrial robots
29 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Fudan University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago