Xianjun Sheng

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About

Dr. Xianjun Sheng is a leading researcher in advanced manufacturing and precision engineering, with a primary focus on intelligent robotic machining and on-machine metrology for complex surfaces. His work addresses critical challenges in the fabrication of thin-walled and freeform components, particularly for the aerospace and mold-making industries. Dr. Sheng’s major contributions include the development of a fuzzy adaptive hybrid impedance control system for mirror milling, a technique that dramatically improves the stability and accuracy of machining large, flexible workpieces—a paper that has garnered 59 citations for its innovative control strategy. He has also pioneered precise on-machine extraction of surface normal vectors using eddy current sensor arrays, a method that overcomes the limitations of optical sensors by remaining unaffected by surface brightness or material reflectivity, enabling robust measurement during complex surface manufacturing. This work, while highly specialized, demonstrates his commitment to solving real-world industrial problems. Dr. Sheng’s research bridges the gap between adaptive control theory and practical machining, making him a notable figure in the field of intelligent manufacturing and precision engineering.