Yingjuan Xie
Papers
2
Total Citations
49
H-Index
2
About
Yingjuan Xie is a leading researcher in robotics and autonomous navigation, with a primary focus on visual SLAM (Simultaneous Localization and Mapping) and coverage path planning. Her most significant contribution is the development of an improved adaptive ORB-SLAM method for monocular vision robots operating in dynamic environments, a paper that has garnered 33 citations and addresses a critical challenge in real-world robotic perception. In earlier work, Xie pioneered a double heuristic optimization approach based on hierarchical partitioning for coverage path planning of robot mowers, earning 16 citations by solving the practical problem of efficient lawn-mowing through intelligent environment modeling and optimal route planning. This work demonstrates her ability to translate complex optimization algorithms into tangible robotic applications. Xie's research bridges theoretical advances in computer vision and path optimization with real-world deployment, making her work highly relevant for students and engineers developing autonomous systems. Her contributions have been instrumental in enhancing robot autonomy in both structured and dynamic settings, establishing her as a notable figure in the field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
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