Xiaoqin Wen
Papers
1
Total Citations
4
H-Index
1
About
Xiaoqin Wen is a researcher whose work centers on advancing mobile robot localization through innovative information-coding techniques. Her primary contribution, detailed in her 2020 paper "A New Information Code for Robot Localization," introduces a novel approach that uses information codes as artificial landmarks to provide global attitude references for robots. By encoding label and location data directly into these codes, Wen’s method enables robots to decode their position and orientation without relying on traditional environmental features, addressing a fundamental challenge in autonomous navigation. While her work has garnered 4 citations, its conceptual novelty lies in reimagining landmarks as programmable information carriers rather than passive objects, offering a scalable solution for indoor and GPS-denied environments. This research bridges coding theory and robotics, potentially simplifying localization in warehouses, hospitals, or smart factories. Wen’s focus on practical, code-based landmarks highlights her commitment to creating robust, low-cost alternatives to complex sensor systems, making her a thoughtful contributor to the field of mobile robotics and spatial intelligence.
Research Focus
Key Achievements
Top Papers
- 1A New Information Code for Robot Localization4 citations · 2020