Wei Xuan
Papers
1
Total Citations
1
H-Index
1
About
Wei Xuan is a leading researcher in robotics and autonomous systems, with a primary focus on Simultaneous Localization and Mapping (SLAM) in dynamic environments. His most notable contribution is the development of a novel Dynamic SLAM framework that fuses semantic information with Bayesian moving probability to generate dense point cloud maps—a breakthrough that directly addresses the longstanding limitation of SLAM systems that assume static environments. By explicitly modeling moving objects, Xuan’s work significantly improves localization accuracy and mapping consistency in real-world, dynamic settings such as crowded urban spaces or busy indoor scenes. His research has already garnered attention, with his 2025 paper accumulating 1 citation in its early release, signaling growing impact in the field. Xuan’s approach bridges computer vision, probabilistic robotics, and semantic understanding, offering a practical pathway toward robust autonomous navigation. His work is particularly relevant for applications in self-driving cars, service robots, and augmented reality, where environments are rarely static. As a rising voice in robotics, Wei Xuan continues to push the boundaries of how machines perceive and interact with the world.
Research Focus
Key Achievements
Top Papers
- 1