Na Xu

Papers

1

Total Citations

3

H-Index

1

About

Na Xu’s research bridges the gap between intelligent automation and industrial logistics, with a primary focus on computer vision and robot control technologies in automated storage and retrieval systems (AS/RS). Her most cited work, a 2007 study on integrating computer vision and robotics into AS/RS, addresses a critical challenge in modern warehousing: improving the speed and accuracy of goods recognition and picking. By exploring how vision-guided robots can autonomously identify and retrieve items, Xu’s contributions lay foundational groundwork for more efficient, scalable warehouse automation. Though her citation count remains modest, her work resonates in an era where e-commerce and smart manufacturing demand ever-greater logistical precision. Xu’s research highlights the practical intersection of machine perception and robotic manipulation, offering insights that continue to inform the development of intelligent material handling systems. Her dedication to solving real-world industrial problems through applied computer vision and robotics marks her as a thoughtful contributor to the evolution of automated warehousing.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Study of Computer Vision and Robot Control Technology in AS/RS
3 citations · 2007
📈 Most Prolific Year: 2007 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago