Wen Fang Xie
Papers
5
Total Citations
123
H-Index
5
About
Dr. Wen Fang Xie is a leading researcher in industrial robotics and visual servoing, with a focus on enhancing robotic precision and dynamic interaction capabilities. Her major contributions lie in developing advanced control strategies that integrate real-time sensing and guidance algorithms. Notably, she proposed a dynamic pose correction scheme using an optical coordinate measure machine, which significantly improves the pose accuracy of industrial robots—a work that has garnered 65 citations. Dr. Xie also pioneered the Augmented Image Based Visual Servoing (AIBVS) controller, enabling smooth and fast manoeuvrability for 6-DOF manipulators, and combined it with Navigation Guidance techniques to achieve reliable catching of moving objects. Her research extends to stereo vision systems for tracking and catching, as well as switching control methods using laser pointers for assembly tasks. With multiple papers cited over a dozen times each, Dr. Xie’s work has had a tangible impact on manufacturing automation and robotic vision systems. Her achievements demonstrate a sustained commitment to bridging theoretical control methods with practical, high-performance robotic applications.
Research Focus
Key Achievements
Top Papers
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