Wanying Zhao

Beijing University of Technology

Papers

2

Total Citations

46

H-Index

2

About

Wanying Zhao is a researcher focused on advancing precision manufacturing through robotic polishing systems, particularly for high-quality optical components. Her work centers on the critical challenge of robot stiffness—a key factor limiting the performance of robot-assisted bonnet polishing systems (RABPS). In her most-cited paper, "Research on an evaluation model for the working stiffness of a robot-assisted bonnet polishing system" (2021, 35 citations), she developed a novel model to assess and predict the dynamic stiffness of robotic polishing setups during operation. This foundational contribution was extended in her 2022 work, "Optimization of static performance for robot polishing system based on work stiffness evaluation" (11 citations), where she proposed optimization strategies to mitigate vibration-induced errors, enhancing machining accuracy and efficiency. Zhao’s research directly addresses the trade-off between the cost-effectiveness of robotic systems and their mechanical limitations, offering practical solutions for industries requiring ultra-precision surfaces. Her work has been recognized for bridging theoretical stiffness evaluation with real-world manufacturing optimization, making her a notable contributor to the field of robotic-assisted optical polishing and precision engineering.

Research Focus

Key Achievements

2
H-Index
2
Papers
46
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Research on an evaluation model for the working stiffness of a robot-assisted bonnet polishing system
35 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Beijing University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago