Linxiaoyi Wan
Papers
1
Total Citations
2
H-Index
1
About
Linxiaoyi Wan is a researcher at the forefront of construction robotics, with a primary focus on robust localization and mapping in complex, unstructured environments. Her most cited work, "Robust Visual SLAM with Integrated UWB Positioning for Construction Robotics" (2023), introduces a multimodal localization system that fuses visual SLAM with ultra-wideband (UWB) positioning to overcome the challenges of GPS-denied and visually degraded construction sites. This contribution is critical for enabling autonomous robots to navigate safely and accurately in dynamic building environments. With 2 citations in a rapidly evolving field, her work is gaining traction among researchers seeking practical solutions for real-world deployment. Wan’s research bridges the gap between computer vision, sensor fusion, and field robotics, offering a scalable approach to enhance robotic autonomy in construction. Her achievements, including publication at the ICRA 2023 Future of Construction Workshop, underscore her role in advancing the next generation of intelligent construction systems. For students and researchers, Wan’s work exemplifies how integrating complementary sensing modalities can solve persistent navigation problems in challenging industrial settings.
Research Focus
Key Achievements
Top Papers
- 1