Yingjun Zhao
Papers
2
Total Citations
345
H-Index
2
About
Yingjun Zhao is a leading figure in the field of robotic kinematics and calibration, with a primary focus on enhancing the precision of serial robots. His most significant contribution is the development of a generic error model based on the product of exponentials (POE) formula, a groundbreaking approach that fundamentally improved the identifiability of kinematic parameters. His seminal 2010 paper on this topic, which has garnered over 316 citations, demonstrated that errors in all joint twists are identifiable, a critical insight for accurate robot calibration. This work has become a cornerstone reference for researchers and engineers working on robot accuracy. Zhao further refined these methods in his 2014 paper, providing explicit error models for calibration using end-effector position measurements. By choosing the tool frame as the reference frame, he offered a practical and robust solution for real-world applications. His research has had a profound impact on the field, enabling more precise and reliable robotic systems for manufacturing, surgery, and automation. Zhao’s work remains essential reading for anyone seeking to understand or advance the state of the art in robot calibration.
Research Focus
Key Achievements
Top Papers
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