Zhiliang Zhu

Wenzhou University, Northeastern University

Papers

Total Citations

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About

Zhiliang Zhu is a researcher at the forefront of intelligent robotics and cyber-physical-social systems (CPSS), with a focus on advancing autonomous navigation and sensor data fusion. His most notable contribution is the development of a high-accuracy position estimation method for mobile robots, published in 2020, which leverages edge computing to overcome the limitations of traditional computing in processing vast sensor data. By integrating CPSS principles, Zhu’s work enables real-time, intelligent trajectory planning, significantly improving robot autonomy in dynamic environments. This paper has garnered 7 citations, reflecting its relevance in the growing field of edge intelligence. Additionally, Zhu has explored 3D point set matching techniques, such as the Moravec vertical interest operator (2012), contributing to robust spatial perception. His research bridges the gap between theoretical CPSS frameworks and practical robotic applications, offering scalable solutions for smart manufacturing and autonomous systems. Zhu’s work is essential reading for students and researchers interested in the intersection of robotics, edge computing, and cyber-physical integration.