Jinxia Xu
Papers
1
Total Citations
8
H-Index
1
About
Jinxia Xu is a researcher at the forefront of integrating machine vision and robotics to revolutionize industrial quality inspection. Her work directly addresses the high costs and inefficiencies of manual techniques in manufacturing, particularly for large-scale products like passenger aircraft. Xu’s most-cited paper, “Utilization of Both Machine Vision and Robotics Technologies in Assisting Quality Inspection and Testing” (2022, 8 citations), demonstrates a practical framework for automating the assessment of surface smoothness and durability. By combining advanced imaging with robotic precision, she offers a scalable solution that reduces human error and operational expenses. This contribution is pivotal for industries demanding flawless exterior and interior finishes, positioning Xu as a key innovator in smart manufacturing. Her research not only advances automation but also sets a benchmark for integrating sensory and mechanical systems in real-world production environments. For students and researchers, Xu’s work exemplifies how interdisciplinary engineering can transform traditional quality assurance into a data-driven, efficient process.
Research Focus
Key Achievements
Top Papers
- 1