Xuan Sang Le
Papers
2
Total Citations
21
H-Index
2
About
Xuan Sang Le is a robotics researcher whose work centers on advancing simultaneous localization and mapping (SLAM) for autonomous robots operating in unknown indoor environments. His key contributions lie in developing and evaluating 2D SLAM algorithms that move beyond traditional grid-based map representations. In his highly cited 2018 paper, "Evaluation of Out-of-the-Box ROS 2D SLAMs for Autonomous Exploration of Unknown Indoor Environments" (18 citations), Le systematically assessed the performance of existing SLAM systems, providing a critical benchmark for the field. Building on this foundation, he introduced "PolySLAM: A 2D Polygon-based SLAM Algorithm" (2019), a novel approach that replaces conventional grid maps with a polygon-based model. This innovation addresses fundamental limitations of grid-based methods—such as memory inefficiency and discretization errors—by representing environments as continuous geometric shapes. Le’s work demonstrates a clear trajectory from evaluating existing tools to pioneering new algorithmic paradigms, making him a notable contributor to indoor robotics navigation. His research is particularly relevant for applications in autonomous exploration, where efficient and accurate mapping is essential for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1
- 2PolySLAM: A 2D Polygon-based SLAM Algorithm3 citations · 2019