Zhang Xiao-wei
Papers
1
Total Citations
2
H-Index
1
About
Dr. Zhang Xiao-wei is a pioneering researcher in intelligent textile manufacturing and robotic automation, with a focus on optimizing complex industrial processes. Her most notable contribution is the development of a novel punching trajectory optimization method for warp-knitted vamp production, which integrates an improved ant colony optimization algorithm with the Radau pseudospectral method. This work addresses critical challenges in multi-point robotic punching—such as trajectory complexity, low efficiency, and high operational difficulty—by enabling smoother, faster, and more precise motion planning. Although her highly specialized paper has garnered 2 citations, its impact lies in its practical potential to revolutionize automated textile assembly, reducing production time and manual intervention. Dr. Zhang’s research bridges computational intelligence and mechanical engineering, offering a scalable solution for high-precision manufacturing. Her work exemplifies how bio-inspired algorithms can be tailored to real-world industrial constraints, making her a key figure in advancing smart factory technologies for the textile sector.
Research Focus
Key Achievements
Top Papers
- 1