Jinsheng Fu
Papers
3
Total Citations
48
H-Index
3
About
Jinsheng Fu is a robotics and manufacturing researcher whose work sits at the intersection of computer vision, robot calibration, and large-scale precision machining. His research has made meaningful contributions to the field of hand-eye calibration — a critical process for enabling robots equipped with vision systems to accurately perceive and interact with their environment. Fu's 2022 paper on hand-eye calibration for robotic high-precision machining has garnered 27 citations, establishing it as a key reference in the field, while his earlier 2020 work refined calibration methodologies by specifically accounting for rotation parameters in robot pose estimation, recognizing that imprecise geometric parameters can undermine system accuracy. Beyond calibration, Fu has demonstrated a broader interest in advanced manufacturing systems. His development of a novel mobile robotic platform — integrating the TriMule hybrid robot with an automated guided vehicle — addresses the growing industrial demand for efficient, cost-effective large-scale machining operations. This work reflects a forward-thinking approach to flexible manufacturing. Collectively, Fu's research bridges theoretical calibration challenges with real-world engineering applications, making his contributions particularly valuable for engineers and researchers working on intelligent robotic manufacturing systems and industrial automation.
Research Focus
Key Achievements
Top Papers
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