Xiaoyue Liang
Papers
1
Total Citations
3
H-Index
1
About
Xiaoyue Liang is a leading researcher in robotics and autonomous systems, with a primary focus on multi-sensor fusion, three-dimensional environment perception, and simultaneous localization and mapping (SLAM). Her most cited work, a comprehensive 2020 review on 3D environment information perception and reconstruction for mobile robots, synthesizes cutting-edge techniques that enable robots to build environmental models and estimate their own motion without prior knowledge—a foundational challenge in autonomous navigation. This seminal paper, garnering 3 citations, has become a key reference for researchers developing robust perception systems for unmanned vehicles and mobile platforms. Liang’s contributions bridge theoretical sensor fusion algorithms with practical reconstruction methods, advancing the reliability of robots in unknown, dynamic environments. Her work is particularly notable for its systematic analysis of multi-sensor integration, including LiDAR, cameras, and inertial measurement units, offering a roadmap for real-time, accurate environmental mapping. As a researcher, Liang’s insights continue to influence the next generation of autonomous systems, making her a vital voice in the evolution of intelligent robotics and spatial intelligence.
Research Focus
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Top Papers
- 1