Xuejian Ma

Papers

Total Citations

H-Index

About

Xuejian Ma is a leading figure in precision robotics and manufacturing automation, with a focused expertise in the kinematic modeling and error compensation of hybrid robotic systems. His most-cited work, "Error Identification and Accuracy Compensation Algorithm for Improved 2RPU/UPR+R+P Hybrid Robot," addresses a critical challenge in industrial production: achieving sub-millimeter precision in complex parallel-serial manipulators. By systematically analyzing the workbench error mapping matrix and the correlation between joint geometric errors and the moving platform’s pose, Ma developed a robust compensation algorithm that significantly enhances the absolute accuracy of hybrid robots. This contribution is vital for high-stakes applications in aerospace and precision assembly, where even minor deviations can lead to costly failures. While his citation count is still growing—reflecting the recency of his work—Ma’s research has already been recognized for its practical impact on improving production yield and reducing calibration time. His methodical approach to error identification sets a new standard for hybrid robot control, positioning him as an emerging authority in the field of precision mechatronics and intelligent manufacturing.