Qiao Xu

China Academy of Engineering Physics, Wuhan Textile University

Papers

Total Citations

H-Index

About

Qiao Xu is a researcher at the forefront of precision manufacturing and industrial automation, with key contributions spanning robotic polishing, 3D reconstruction, and intelligent logistics. Her work addresses critical challenges in high-precision surface processing, particularly for large aspheric optics. In her most cited paper (17 citations), Xu developed a method to evaluate and compensate for kinematic errors in robotic bonnet polishing, enabling economical uniform polishing of large aspheric surfaces—a breakthrough for cost-effective precision optics manufacturing. She further advanced 3D reconstruction techniques for confined environments, proposing a monocular video frame optimization method using feature-based parallax analysis for drainage pipe interior modeling (6 citations). Most recently, Xu tackled smart manufacturing logistics with a dynamic multi-AGV path planning system for yarn cone delivery in textile twisting workshops (2024). Her work bridges the gap between theoretical robotics and practical industrial applications, demonstrating how intelligent automation can enhance both precision and efficiency. Xu’s research is particularly impactful for students and engineers seeking to understand the integration of robotic systems into complex manufacturing environments.