Chuanshuai Kang
Papers
2
Total Citations
11
H-Index
2
About
Chuanshuai Kang is a researcher advancing the precision and reliability of industrial robotics through rigorous geometric calibration and uncertainty analysis. His primary research areas include robot kinematics, geometric parameter identification, and the application of new generation Geometrical Product Specification (GPS) standards to manufacturing automation. Kang’s most cited work, “Uncertainty Estimation of Robot Geometric Parameters and End‐Effecter Position Based on New Generation GPS” (2019, 9 citations), addresses a critical gap in calibration practice: the need to quantify and report measurement uncertainty alongside calibration results. By integrating GPS principles, he provides a framework for more trustworthy and repeatable robot positioning. In a complementary study (2019, 2 citations), Kang systematically compares the Modified Denavit-Hartenberg (MDH) and Zero Reference Model (ZRM) methods for geometric parameter calibration, offering practical guidance for enhancing absolute positioning accuracy in serial robots. His contributions are particularly valuable for applications demanding high precision, such as aerospace assembly and medical robotics. Kang’s work bridges theoretical metrology and applied robotics, helping to establish standards for verifiable, uncertainty-aware calibration that improves both performance and confidence in automated systems.
Research Focus
Key Achievements
Top Papers
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- 2