Xiaolei Yang
Papers
1
Total Citations
11
H-Index
1
About
Xiaolei Yang is a researcher specializing in industrial robotics, with a focused expertise in kinematic calibration and positioning accuracy enhancement. Their major contribution lies in developing a refined error model for six-degree-of-freedom (6-DOF) industrial robots, as demonstrated in their most-cited work (2015, 11 citations). By integrating the Denavit-Hartenberg (D-H) and Modified D-H (MD-H) methods to deduce forward kinematics, and employing total differential calculations to derive the Jacobian matrix, Yang established a robust kinematics calibration error model. This work directly addressed real-world manufacturing challenges, successfully improving the positioning accuracy of a SIASUN SR165C industrial robot—a notable achievement that bridges theoretical modeling and practical application. While their citation count reflects a specialized niche, Yang’s methodology provides a foundational framework for enhancing robotic precision, offering valuable insights for students and researchers in automation, mechatronics, and precision engineering. Their work underscores the critical role of calibration in advancing industrial robot performance.
Research Focus
Key Achievements
Top Papers
- 1