Papers
6
Total Citations
99
H-Index
4
About
Xiangrui Meng is a leading researcher in mobile robotics, with a primary focus on quadruped robots and environment perception. His work centers on enabling legged and wheeled robots to autonomously navigate complex, unstructured terrains through advanced sensing and perception techniques. Meng's most influential contribution is his comprehensive review of quadruped robots and environment perception (2016), which has garnered 52 citations and serves as a foundational reference for the field. He has made significant advances in terrain traversability analysis, developing novel methods for slope detection and orientation estimation using 3D LiDAR point cloud data, specifically tailored for quadruped robots. His slope detection method (2016) and terrain description approach (2018) have been cited 8 and 26 times respectively, demonstrating their value in practical robotics. Meng also contributed to integrated navigation frameworks that combine 3D LiDAR with monocular cameras, and optimized path planning using segmented Bezier curves and A* algorithms. His work directly addresses the challenge of enabling robots to detect obstacles, slopes, and potholes in real-time, making autonomous navigation safer and more reliable in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1A review of quadruped robots and environment perception52 citations · 2016
- 2
- 3A slope detection method based on 3D LiDAR suitable for quadruped robots8 citations · 2016
- 4
- 5
- 6