Papers
1
Total Citations
9
H-Index
1
About
Shun He is a researcher whose work sits at the intersection of precision engineering and robotics, with a particular focus on improving the accuracy and reliability of robotic systems. His key research areas include geometric parameter calibration, uncertainty estimation, and the application of geometrical product specification (GPS) standards to robotics. He is best known for his 2019 paper, “Uncertainty Estimation of Robot Geometric Parameters and End‐Effecter Position Based on New Generation GPS,” which has garnered 9 citations. In this influential work, He demonstrated that calibrating robot geometric parameter errors can significantly enhance end-effector positioning accuracy. More importantly, he introduced a rigorous framework for quantifying calibration uncertainty—a critical step often overlooked in traditional calibration processes. By aligning his methodology with the new generation GPS standards, He ensured that calibration results are not only accurate but also accompanied by a clear measure of confidence. This contribution has practical implications for high-precision manufacturing and automation, where even minor positional errors can lead to costly defects. Shun He’s research thus bridges the gap between theoretical metrology and real-world robotic performance, offering engineers a more reliable path to precision.
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Top Papers
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