About

Zhibin Li is a leading researcher in industrial robotics, with a primary focus on robot arm calibration and positioning accuracy. His work addresses a critical challenge in modern manufacturing: the significant absolute positioning errors that prevent uncalibrated robots from meeting high-precision application requirements in aerospace, petrochemical, and medical care sectors. Li’s most influential contribution is his comprehensive overview of calibration technology for industrial robots, which has garnered 365 citations and serves as a foundational reference for the field. He has pioneered novel calibration approaches, including a learning-based system using open datasets, an Unscented Kalman Filter-incorporated Levenberg–Marquardt algorithm, and a fuzzy ensemble calibrator that achieves highly accurate results. His innovative methods, such as the quadratic interpolated beetle antennae search and logistic-tent chaotic mapping algorithms, have advanced data-driven calibration from a machine learning perspective. With over 600 total citations across his publications, Li has established himself as a key figure in improving industrial robot precision, enabling their reliable deployment in automated assembly, grinding, and inspection tasks.

Research Focus

Key Achievements

8
H-Index
16
Papers
640
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
An overview of calibration technology of industrial robots
365 citations · 2021
📈 Most Prolific Year: 2022 (5 Papers)
🤝 Key Collaborators: 33
🏛 Institutions: Dongguan University of Technology, Chongqing University of Posts and Telecommunications, Southwest University, Chengdu University of Information Technology, Chongqing Institute of Green and Intelligent Technology, Shanghai University of Electric Power

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago