Xiaomei Yan
Papers
1
Total Citations
3
H-Index
1
About
Xiaomei Yan is a leading researcher in robotics and autonomous navigation, with a primary focus on simultaneous localization and mapping (SLAM) for mobile robots. Her work centers on advancing multi-sensor fusion techniques, which are critical for enabling robots to perceive and navigate complex environments with greater accuracy and reliability. Yan’s most-cited paper, “Simultaneous localization and mapping of mobile robots with multi-sensor fusion” (2023), has already garnered 3 citations—a promising start that underscores the growing relevance of her contributions. By integrating data from diverse sensors, she addresses key challenges in SLAM, such as robustness in dynamic settings and real-time performance, pushing the boundaries of autonomous systems. Her research has implications for applications ranging from warehouse logistics to search-and-rescue operations. Yan’s work is particularly notable for its practical approach, bridging theoretical frameworks with real-world deployment. As a rising scholar, she continues to shape the future of intelligent robotics, inspiring students and researchers to explore the intersection of perception, mapping, and control in autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1