Yuhang Xu
Papers
2
Total Citations
6
H-Index
2
About
Yuhang Xu is a rising star in the field of robotics perception, whose work is pushing the boundaries of how autonomous systems understand and navigate complex environments. His research centers on **multi-sensor fusion** and **collaborative simultaneous localization and mapping (C-SLAM)** , with a specific focus on overcoming the limitations of individual sensors. Xu’s major contribution, the **PMLIO** system (4 citations), tackles the critical challenge of a single LiDAR’s narrow field of view. By introducing a panoramic, tightly-coupled multi-LiDAR-inertial odometry framework, he enables robots to achieve comprehensive environmental awareness, a foundational step for robust autonomy. Building on this, his latest work, **ATCM** (2 citations), ventures into the frontier of heterogeneous multi-robot systems. This framework solves the complex problem of inter-robot loop closure detection between aerial and terrestrial LiDARs, demonstrating a path toward precise, large-scale collaborative mapping. Though early in his career, Xu’s contributions are already defining the next generation of perception systems, promising more resilient and capable robots for search-and-rescue, exploration, and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1
- 2