Jingyu Xu
Papers
1
Total Citations
2
H-Index
1
About
Dr. Jingyu Xu is a leading researcher in intelligent manufacturing and robotic assembly systems, with a primary focus on computer vision and automated positioning technologies for industrial applications. Their most notable contribution is the development of the "Bolster Spring Visual Servo Positioning Method Based on Depth Online Detection," a pioneering approach that addresses critical efficiency challenges in railway wagon assembly. By integrating real-time depth detection with visual servo control, Dr. Xu’s work significantly enhances the speed and accuracy of automated spring grasping and positioning, overcoming the limitations of traditional methods. This research, published in 2025, has already garnered 2 citations, reflecting its immediate relevance to advancing smart factory automation. Dr. Xu’s expertise lies at the intersection of depth sensing, image processing, and robotic control, driving innovations that improve production line throughput and reliability. Their work is particularly impactful for industries requiring high-precision, high-efficiency assembly, positioning Dr. Xu as a key contributor to the next generation of intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1