Zequan Chen
Papers
1
Total Citations
2
H-Index
1
About
Zequan Chen is a researcher focused on the reliability and precision of robotic systems, with a particular emphasis on serial robots. His work addresses the critical challenge of how manufacturing imperfections—such as dimensional errors in connecting rods and angular deviations in joints—affect the end-effector path accuracy of robotic arms. In his most cited paper, "Reliability Analysis of Path Accuracy of Series Robot Based on Quasi-Interval Monte Carlo Method" (2019), Chen employs the Denavit-Hartenberg (D-H) method to construct a reliability model for robot path accuracy. By integrating quasi-interval analysis with Monte Carlo simulation, he offers a novel approach to quantifying uncertainty in robotic motion, providing engineers with a robust tool for predicting and improving performance under real-world tolerances. While his citation count is currently modest, his work contributes foundational insights to the growing field of reliability engineering in robotics, particularly for applications requiring high precision, such as manufacturing and assembly. Chen’s research bridges theoretical modeling and practical reliability assessment, making it valuable for students and researchers exploring the intersection of robotics, uncertainty quantification, and mechanical design.
Research Focus
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Top Papers
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