Zhenguo Li

Papers

Total Citations

260

H-Index

About

Zhenguo Li is a leading researcher in robotic manufacturing and intelligent automation, with a primary focus on the modeling, control, and optimization of robotic polishing for complex curved surfaces. His foundational work addresses one of the most challenging problems in precision manufacturing: achieving consistent, high-quality surface finishing on freeform geometries. Li’s most-cited papers, including “Modeling and control of robotic automatic polishing for curved surfaces” (148 citations) and “Polishing pressure investigations of robot automatic polishing on curved surfaces” (112 citations), have established the theoretical and practical frameworks for force-controlled robotic finishing. These contributions are critical for industries such as aerospace, automotive, and mold making, where surface integrity directly impacts performance and longevity. By systematically analyzing polishing pressure dynamics and developing adaptive control strategies, Li has enabled robots to perform tasks previously reliant on skilled manual labor, significantly improving repeatability and efficiency. His work represents a key step toward fully autonomous, high-precision surface processing, and continues to influence both academic research and industrial applications in robotic machining.