YAN Li
Papers
1
Total Citations
2
H-Index
1
About
Dr. Yan Li is a pioneering researcher in autonomous robotics, with a primary focus on simultaneous localization and mapping (SLAM) and mobile robot pose estimation. Her most cited work, "Advanced quaternion unscented Kalman filter based on SLAM of mobile robot pose estimation" (2022, 2 citations), introduces a novel approach that leverages quaternion-based unscented Kalman filtering to enhance the accuracy and robustness of robot self-localization in dynamic environments. This contribution addresses a critical challenge in automatic motion-controlled systems, where precise pose correction is essential for reliable navigation. Dr. Li’s research bridges theoretical advances in Kalman filtering with practical SLAM applications, offering a refined methodology that improves upon classical Kalman filter limitations. Her work has been recognized for its potential to advance autonomous systems in fields ranging from industrial automation to service robotics. With a growing citation impact, Dr. Li continues to shape the development of intelligent robotic systems, making her a notable figure in the intersection of control theory and robotics engineering.
Research Focus
Key Achievements
Top Papers
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