Xiujun Fang
Papers
1
Total Citations
8
H-Index
1
About
Dr. Xiujun Fang is a leading researcher in precision robotics and industrial automation, with a core focus on enhancing the accuracy and reliability of robotic systems. His most significant contribution is the development of a novel calibration method for industrial robots based on the principle of Perigon Error Close, published in 2022. This work addresses a critical challenge in manufacturing: the self-error of calibration devices that degrades positioning accuracy. By leveraging the theory that the sum of circular indexing interval errors around a full rotation is zero, Dr. Fang’s method effectively cancels out systematic errors without requiring expensive, high-precision reference equipment. This breakthrough has garnered 8 citations and is recognized for its practical impact on reducing calibration costs and improving repeatability in assembly lines and machining centers. His research bridges theoretical metrology with real-world industrial applications, making him a key figure in advancing robot performance for high-stakes environments like automotive and aerospace manufacturing. Dr. Fang’s work continues to influence the development of more autonomous and error-resilient robotic systems.
Research Focus
Key Achievements
Top Papers
- 1