Jixiang Yan

Papers

1

Total Citations

1

H-Index

1

About

Jixiang Yan is a robotics researcher specializing in autonomous navigation and perception systems for industrial applications. His primary research areas include LiDAR-based positioning, simultaneous localization and mapping (SLAM), and intelligent control for mobile robots in constrained environments. Yan’s most notable contribution is the development of a LiDAR-based positioning and navigation method for container loading robots, addressing the critical challenge of accurate localization in open, feature-sparse environments outside shipping containers. By strategically arranging reflectors as artificial landmarks, his work enables robust pose estimation and reliable autonomous operation in logistics settings. While his 2022 paper has garnered initial citations, Yan’s research holds significant practical value for warehouse automation and port logistics, where precise robot navigation is essential for efficiency and safety. His approach demonstrates a creative integration of sensor fusion and environmental engineering, offering a scalable solution for industrial robotics. Yan’s work continues to influence the development of autonomous systems in challenging, real-world environments, making him a promising contributor to the field of intelligent robotics and automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
LiDAR-based positioning and navigation technology for container loading robot
1 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago