Xinjun
Papers
1
Total Citations
30
H-Index
1
About
Xinjun is a leading researcher in robotics, with a primary focus on the precision, error modeling, and kinematic optimization of parallel robots, particularly those designed for high-speed pick-and-place operations. His most cited work, "Error Modeling and Sensitivity Analysis of a Parallel Robot with SCARA Motions" (2014, 30 citations), makes a foundational contribution to the field by addressing a critical limitation in existing robot accuracy models. While traditional approaches simplify parallel robots by modeling them as a single closed-loop structure, Xinjun’s methodology provides a more exhaustive error model that explicitly accounts for the geometric errors in all joints, including those within the parallelogram structure. This advancement is vital for improving the effectiveness of kinematic calibration and precision design. By defining statistical sensitivity indices and generating atlas maps, his work enables researchers to pinpoint which geometric errors most significantly affect the mobile platform’s pose. This contribution is essential for engineers designing more accurate and reliable parallel robots for industrial automation.
Research Focus
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Top Papers
- 1