Papers

4

Total Citations

21

H-Index

4

About

Xiaomei Xie is a robotics researcher whose work centers on stereo vision systems, multi-robot coordination, and autonomous navigation. Her major contributions address critical challenges in depth perception and environmental exploration. In her most-cited work, "Analysis of Ranging Error of Parallel Binocular Vision System" (7 citations), she systematically characterized how calibration distance affects depth estimation accuracy—a fundamental issue for 3D reconstruction and obstacle avoidance in field robotics. Her paper "Synchronization and calibration of a stereo vision system" (6 citations) provides essential documentation on designing adjustable-baseline stereo systems for robotic navigation and wave reconstruction. Xie also advances multi-robot systems through "Coverage Optimization Algorithm for Multi-robot System based on Virtual Force Refinement" (4 citations), improving area coverage efficiency for applications like geological surveys and disaster detection. Additionally, her work on "Planetary Rover Path Planning Based on Improved A* Algorithm" (4 citations) demonstrates her ability to adapt classical algorithms for extreme environments. With a cumulative 21 citations across her most influential papers, Xie’s research bridges theoretical error analysis with practical system design, offering valuable insights for students and engineers developing autonomous robots for challenging real-world and planetary applications.

Research Focus

Key Achievements

4
H-Index
4
Papers
21
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Analysis of Ranging Error of Parallel Binocular Vision System
7 citations · 2020
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of Electronic Science and Technology of China

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago