Genyuan Xing
Papers
1
Total Citations
2
H-Index
1
About
Genyuan Xing is a researcher specializing in robotics, sensor fusion, and simultaneous localization and mapping (SLAM), with a particular focus on improving autonomous navigation in complex environments. Their most notable contribution is the development of FLARE-SLAM, a novel multi-sensor fusion algorithm introduced in 2025 that addresses critical challenges in 3D LiDAR mapping, specifically the instability caused by uneven measurement signals and random point distribution. By enhancing feature extraction and residual processing, Xing’s work enables mobile robots to achieve more reliable and accurate mapping in challenging terrains. Though early in its trajectory, this work has already garnered attention with 2 citations, signaling its potential impact on the field. Xing’s research bridges the gap between theoretical sensor fusion and practical robotic deployment, offering solutions that are vital for applications in autonomous driving, search-and-rescue, and industrial automation. Their dedication to refining SLAM technology positions them as an emerging voice in robotics, with contributions that promise to advance the robustness of real-world autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1