Mingwei Shao

Papers

Total Citations

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About

Mingwei Shao is a researcher in robotics and precision measurement, with a primary focus on robot calibration and visual measurement systems. His most cited work, "A New Method to Calibrate Robot Visual Measurement System" (2013, 9 citations), introduces an innovative approach that leverages a laser tracker to calibrate robot twist angles. By moving each robot axis to multiple positions and fitting the measured points to a plane, Shao’s method significantly enhances the accuracy of robotic systems, a critical contribution for applications in manufacturing and automation. This work demonstrates his expertise in integrating advanced metrology tools with robotic kinematics to solve real-world precision challenges. Though his citation count is modest, Shao’s research addresses foundational issues in robot calibration, offering practical solutions that benefit engineers and researchers working on industrial robotics. His contributions underscore the importance of precise calibration in improving robot performance, making his work a valuable reference for those exploring visual measurement and robotic system optimization.