Yingli Wen

Papers

Total Citations

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About

Yingli Wen is a leading researcher at the intersection of cyber-physical-social systems (CPSS) and intelligent robotics, with a focus on advancing autonomous navigation and edge computing. Her most-cited work, “Accurate Position Estimation of Mobile Robot Based on Cyber-Physical-Social Systems (CPSS)” (2020), addresses a critical challenge in robotics: leveraging massive sensor data for precise trajectory planning. By integrating edge computing—which brings intelligent services closer to the data source—Wen’s approach overcomes the limitations of traditional computing methods, enabling real-time, accurate position estimation for mobile robots. This contribution has garnered 7 citations, reflecting its growing influence in the field. Wen’s research bridges theoretical frameworks and practical applications, offering scalable solutions for autonomous systems in dynamic environments. Her work is particularly notable for its interdisciplinary approach, combining insights from social systems, physical sensing, and cyber infrastructure. For students and researchers exploring the future of intelligent robotics, Wen’s studies provide a foundational understanding of how edge intelligence can transform mobile robot autonomy, making her a key figure in the evolution of CPSS-driven technologies.