Xuezhen Chen
Papers
1
Total Citations
2
H-Index
1
About
Xuezhen Chen is a researcher in robotics and mechanical engineering, with a primary focus on the reliability and precision of robotic systems. Their key contributions center on developing advanced methods to analyze and improve the path accuracy of serial robots, particularly by accounting for manufacturing imperfections such as dimensional errors in connecting rods and angular deviations in joints. In their most-cited work, "Reliability Analysis of Path Accuracy of Series Robot Based on Quasi-Interval Monte Carlo Method" (2019, with 2 citations), Chen introduced a novel approach that combines the Denavit-Hartenberg (D-H) kinematic modeling framework with a quasi-interval Monte Carlo technique. This method allows for a robust probabilistic assessment of how geometric uncertainties affect end-effector trajectory fidelity, offering a practical tool for enhancing robot performance in precision-critical applications. While their citation count is modest, this work represents a foundational step in bridging reliability theory with robotic kinematics, contributing to safer and more accurate automation systems. Chen’s research is particularly valuable for students and engineers seeking to understand the interplay between mechanical tolerances and robotic motion control.
Research Focus
Key Achievements
Top Papers
- 1