Papers
5
Total Citations
65
H-Index
4
About
Yupei Yan’s research focuses on advancing autonomous navigation for mobile robots, particularly in dynamic and indoor environments. Their work integrates fuzzy logic, filter smoothing, and decision tree algorithms to enhance path planning and real-time adaptability. A key contribution is the development of a navigation algorithm based on PF-SLAM (Particle Filter Simultaneous Localization and Mapping), which improves robot localization and mapping accuracy in changing settings. Yan’s most cited paper, “Mobile robot autonomous path planning based on fuzzy logic and filter smoothing in dynamic environment” (28 citations), established a foundation for robust obstacle avoidance and trajectory optimization. More recently, Yan has explored deep learning and machine learning techniques for home service robots, enabling object recognition and precise navigation in domestic spaces. Their work on multi-moving target recognition and tracking further demonstrates a commitment to integrating visual sensing with intelligent monitoring systems. With a growing citation record and a trajectory toward AI-driven robotics, Yupei Yan’s contributions are shaping the future of autonomous mobile systems in both industrial and household applications.
Research Focus
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