Papers
2
Total Citations
345
H-Index
2
About
Shuzi Yang is a leading figure in precision robotics, whose work has fundamentally advanced the field of kinematic calibration for serial robots. His primary research focuses on developing rigorous mathematical frameworks to enhance robot accuracy, specifically through the application of the product of exponentials (POE) formula. Yang’s most influential contribution is his landmark 2010 paper, *Kinematic-Parameter Identification for Serial-Robot Calibration Based on POE Formula*, which has garnered over 316 citations. In this seminal work, he introduced a generic error model that revolutionized calibration by proving, for the first time, that errors in all joint twists are identifiable—a critical insight that resolved long-standing ambiguities in parameter estimation. Building on this foundation, his 2014 paper further refined the methodology by presenting three explicit error models for calibration using only position measurements, a practical approach that significantly reduces experimental complexity. By elegantly unifying geometric error modeling with the POE framework, Yang has provided the theoretical backbone for modern robot self-calibration, enabling higher precision in industrial automation and surgical robotics. His work remains essential reading for any researcher seeking to understand or improve the accuracy of articulated robotic systems.
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