Xie
Papers
1
Total Citations
30
H-Index
1
About
Dr. Xie’s research focuses on precision robotics, particularly the kinematic modeling, error analysis, and sensitivity optimization of parallel robots used in high-speed pick-and-place operations. Their most-cited work, "Error Modeling and Sensitivity Analysis of a Parallel Robot with SCARA Motions" (2014, 30 citations), addresses a critical limitation in robotic accuracy: conventional error models that simplify the robot as a rigid-link structure fail to capture geometric errors in complex joints, such as those in parallelogram linkages. Dr. Xie proposed a comprehensive error modeling methodology that accounts for all joint geometric errors, including those within the parallelogram structure, thereby more thoroughly identifying factors that degrade positioning precision. By defining statistically meaningful sensitivity indices, they conducted a systematic sensitivity analysis and generated atlas maps illustrating how each geometric error influences the moving platform’s pose. This work provides a foundational framework for improving the design accuracy and kinematic calibration of parallel robots, directly benefiting industries requiring high-speed, high-precision automation. Dr. Xie’s contributions are essential for researchers and engineers working on advanced robotic mechanisms, error compensation, and precision manufacturing.
Research Focus
Key Achievements
Top Papers
- 1