Yuzhen
Papers
1
Total Citations
30
H-Index
1
About
Yuzhen’s research centers on precision robotics, particularly the kinematic modeling, error analysis, and sensitivity optimization of parallel robots used in high-speed pick-and-place operations. Their most cited work, “Error Modeling and Sensitivity Analysis of a Parallel Robot with SCARA Motions” (2014, 30 citations), addresses a critical limitation in conventional error models for parallel robots with parallelogram structures. Yuzhen proposed a more comprehensive error modeling methodology that captures geometric errors across all joints—including those within the parallelogram linkage—thereby overcoming the inaccuracies of simplified models. This innovation significantly improves the effectiveness of precision design and kinematic calibration. By defining statistical sensitivity indices and generating atlas maps, Yuzhen’s analysis reveals how individual geometric errors influence the mobile platform’s pose, enabling targeted error reduction. This work has been foundational for researchers and engineers seeking to enhance the accuracy and reliability of parallel robots in industrial automation. Yuzhen’s contributions bridge theoretical modeling and practical application, offering a robust framework for error-sensitive design in high-speed robotic systems.
Research Focus
Key Achievements
Top Papers
- 1