Yuzhen Chen
Papers
1
Total Citations
50
H-Index
1
About
Yuzhen Chen is a robotics researcher whose work centers on the kinematic analysis and error modeling of parallel robot systems, with a particular focus on SCARA (Selective Compliance Assembly Robot Arm) motions. Chen’s most cited paper, "Error modeling and sensitivity analysis of a parallel robot with SCARA motions" (2014, 50 citations), makes a foundational contribution to precision robotics by developing a systematic framework for quantifying how geometric errors in joint and link parameters affect the end-effector positioning accuracy of parallel manipulators. This work is critical for improving the reliability and performance of robots used in assembly, pick-and-place, and other high-precision tasks. By combining rigorous error modeling with sensitivity analysis, Chen provides engineers with practical tools to identify the most influential error sources and optimize robot design for enhanced accuracy. The paper’s sustained citation count reflects its importance in the fields of robotics, mechanism design, and manufacturing automation. Chen’s research continues to inform the development of more robust and accurate parallel robots, making a lasting impact on both academic studies and industrial applications.
Research Focus
Key Achievements
Top Papers
- 1