Xiaofei Ma
Papers
1
Total Citations
9
H-Index
1
About
Xiaofei Ma is a leading researcher in robotics and autonomous navigation, with a primary focus on 3D LiDAR-based simultaneous localization and mapping (SLAM) for mobile robots. His major contributions center on developing robust, tightly-coupled sensor fusion algorithms that integrate LiDAR and inertial measurement units (IMUs) to overcome the challenges of perceptually degraded environments—such as long, feature-sparse corridors or homogeneous indoor spaces. His most-cited work (2024, 9 citations) introduces a tightly-coupled SLAM framework that significantly improves localization accuracy and robustness in indoor settings, where low-resolution 3D laser scanners often struggle due to limited feature points. This research addresses a critical bottleneck in mobile robotics, enabling reliable navigation in real-world conditions. Ma’s work is notable for its practical impact on autonomous systems, particularly in warehouse automation, service robotics, and indoor exploration. By advancing LiDAR-inertial SLAM, he has laid groundwork for more resilient and efficient robotic perception, earning recognition among peers for tackling one of the field’s most persistent challenges.
Research Focus
Key Achievements
Top Papers
- 1