Zeyin Zhao
Papers
1
Total Citations
2
H-Index
1
About
Zeyin Zhao’s research focuses on the precision and kinematic modeling of industrial robots, with a particular emphasis on error compensation and calibration. His most-cited work, “A Generalized Kinematic Error Modeling Method for Serial Industrial Robots Based on Product of Exponentials Formula” (2021), addresses a critical challenge in robotics: the reduction of positioning errors caused by geometric inaccuracies, such as imperfect link lengths and assembly misalignments, as well as complex, joint-dependent errors from bearing systems and harmonic drives. By treating the robot as an ideal rigid body and developing a generalized error model using the product of exponentials (POE) formula, Zhao provides a systematic framework for improving robot accuracy—a vital contribution for high-precision manufacturing and automation. Though early in his career, with this paper garnering 2 citations, his work lays a rigorous foundation for future advancements in robot calibration. Zhao’s research is particularly valuable for students and engineers seeking to understand and mitigate real-world kinematic errors, bridging theoretical modeling with practical industrial applications.
Research Focus
Key Achievements
Top Papers
- 1