Changjie Liu
Papers
2
Total Citations
8
H-Index
2
About
Changjie Liu is a researcher specializing in precision measurement and industrial robotics, with a particular focus on calibration technologies for coordinate measurement systems. Their major contributions lie in developing methods to enhance the accuracy and reliability of robotic visual measurement systems used in automotive manufacturing, specifically for online monitoring of critical dimensions in body assemblies and subassemblies. Liu’s most cited work, "Study on the Field Calibration Technology of Robot Flexible Coordinate Measurement System" (2010, 6 citations), addresses the challenge of thermal drift caused by temperature-induced expansion of robotic arms and joints. In their subsequent paper, "Online Calibration of Visual Measurement System Based on Industrial Robot" (2011, 2 citations), Liu introduced a novel online calibration method that integrates D-H forward kinematics and differential kinematics to model positioning errors, uses multivariate linear regression to identify temperature-sensitive link parameters, and establishes a temperature error compensation model based on a reference sphere. Field tests demonstrated that this approach reduces measurement errors to approximately 0.05 mm while maintaining production line efficiency. Liu’s work is notable for its practical impact on real-time quality control in manufacturing, bridging the gap between theoretical modeling and industrial application.
Research Focus
Key Achievements
Top Papers
- 1
- 2