Papers
7
Total Citations
115
H-Index
4
About
Dr. Shuai Fan is a leading researcher in the field of advanced robotics and manufacturing, with a primary focus on the vibration analysis and stiffness enhancement of parallel robots for high-precision applications. His work is particularly critical for the aerospace industry, where strict machining accuracy and surface finish are paramount. Dr. Fan's major contributions include developing a universal modelling approach using screw theory to analyze the vibration response of space parallel robots, as well as a novel method for selecting components to enhance the stiffness of heavy-load robots. His most cited paper, "Machine learning-based classification of quality grades for concrete vibration behaviour" (2024, 49 citations), demonstrates his versatility in applying AI to manufacturing quality control. With over 115 total citations, his research on defective parallel robots for aerospace parts machining (2023, 9 citations) and his hybrid optimization method for the Tricept robot (2017) further underscore his impact. Notably, Dr. Fan also contributed to engineering education by incorporating Fischertechnik bricks into undergraduate mechatronics courses (2006), bridging theory and hands-on learning. His work continues to shape the future of precision manufacturing and robotics.
Research Focus
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