Bo-Xian Wu
Papers
1
Total Citations
3
H-Index
1
About
Bo-Xian Wu is an emerging researcher in robotics and autonomous systems, with a focused interest in 3D LiDAR-based perception, simultaneous localization and mapping (SLAM), and mobile robot navigation. Their most cited work, "3D LiDAR SLAM-based systems in object detection and navigation applications" (2023), introduces a lightweight, ground-optimized LiDAR odometry and mapping (LeGO-LOAM) framework that integrates object detection with SLAM to enhance autonomous navigation. This contribution addresses critical challenges in real-time environmental perception and localization for mobile robots, offering an efficient solution for dynamic, unstructured settings. Although early in their career, Wu’s research has already garnered attention, with the paper cited three times, signaling growing relevance in the field. Their work bridges the gap between robust mapping and practical navigation, making it valuable for students and researchers exploring LiDAR-based autonomy. Wu’s focus on optimizing computational efficiency while maintaining accuracy positions them as a promising contributor to the next generation of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1