Papers
1
Total Citations
3
H-Index
1
About
You Xia Sun is a researcher focused on advancing robotic perception and mapping in challenging, unstructured environments. Her key research areas include rescue robotics, sensor fusion, and scan matching techniques for autonomous navigation. Sun’s major contribution lies in addressing the difficulties of mapping in non-structural rescue settings, where traditional feature extraction methods often fail. In her notable work, "Mapping of Rescue Environment Based on NDT Scan Matching" (2013), she proposed a novel approach using normal distribution transform (NDT) scan matching combined with extended Kalman filtering (EKF) to overcome these obstacles. This method enables rescue robots to build accurate maps without relying on hard-to-extract environmental features, significantly improving their operational reliability in disaster scenarios. While her most-cited paper has garnered 3 citations, its impact is evident in its practical relevance to the field of rescue robotics, where reliable mapping can save lives. Sun’s work demonstrates a commitment to solving real-world problems, making her research a valuable resource for students and engineers developing autonomous systems for emergency response.
Research Focus
Key Achievements
Top Papers
- 1Mapping of Rescue Environment Based on NDT Scan Matching3 citations · 2013