Yongliang Zhang
Papers
1
Total Citations
43
H-Index
1
About
Yongliang Zhang is a leading researcher in robotics and automation, with a primary focus on kinematic calibration and precision measurement for heavy-duty industrial robots. His most notable contribution is the development of a two-step method for kinematic parameter calibration based on complete pose measurement, which significantly enhances the accuracy and reliability of large-scale robotic systems. This work, published in 2023, has already garnered 43 citations, reflecting its immediate impact on the field. Zhang’s research addresses critical challenges in manufacturing and heavy industry, where precise robot positioning is essential for tasks such as welding, machining, and assembly. By integrating advanced measurement techniques with robust calibration algorithms, he has provided a practical framework that reduces errors and improves operational efficiency. His achievements are particularly relevant for the deployment of heavy-duty robots in complex, real-world environments, bridging the gap between theoretical modeling and industrial application. Zhang’s work continues to influence both academic research and practical engineering, making him a key figure in the advancement of robotic precision and automation technology.
Research Focus
Key Achievements
Top Papers
- 1