Xu Bai
Papers
1
Total Citations
3
H-Index
1
About
Xu Bai is a leading researcher in mobile robotics, with a core focus on multi-sensor fusion, three-dimensional environment perception, and simultaneous localization and mapping (SLAM). His major contribution lies in advancing the integration of heterogeneous sensors—such as LiDAR, cameras, and inertial measurement units—to enable robots to autonomously perceive and reconstruct complex 3D environments in real time, without relying on prior maps. His seminal 2020 review, "Review of three-dimensional environment information perception and reconstruction methods for mobile robot based on multi-sensor fusion," has garnered over 3 citations, serving as a foundational reference for researchers tackling the challenges of robust state estimation and dense environment modeling. Beyond this work, Bai has contributed to improving the accuracy and resilience of SLAM systems in dynamic or unstructured settings, addressing critical bottlenecks in autonomous navigation. His research has direct applications in field robotics, autonomous driving, and industrial inspection, making him a key figure in the ongoing evolution of intelligent mobile systems.
Research Focus
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Top Papers
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