Shangkun Xu
Papers
1
Total Citations
2
H-Index
1
About
Shangkun Xu is a researcher specializing in precision robotics and mechanical systems, with a particular focus on the kinematic accuracy of industrial robots. His work addresses the critical challenge of positioning errors in SCARA robots—a widely used type of assembly robot—caused by joint clearance, a common source of mechanical inaccuracy. In his most-cited study, "Study and Experiment on Positioning Error of SCARA Robot Caused by Joint Clearance" (2017), Xu systematically analyzes how clearances in robot joints degrade positioning performance and validates his theoretical models through experimental testing. This contribution is essential for improving the precision and reliability of robotic systems in manufacturing and automation. While his citation count remains modest, Xu’s research provides foundational insights for engineers and researchers working to enhance robot accuracy through mechanical design and error compensation. His work underscores the importance of bridging theoretical analysis with practical experimentation, offering valuable guidance for the development of more precise and robust robotic systems.
Research Focus
Key Achievements
Top Papers
- 1