Yunyun Wang

Papers

Total Citations

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About

Yunyun Wang is a researcher specializing in autonomous navigation and intelligent guidance systems for mobile robotics. Her work addresses critical challenges in automated guided vehicle (AGV) technology, particularly the limitations of flexibility, path maintenance, and positioning accuracy in existing guidance methods. Her most-cited paper, "AGV Navigation Based on AprilTags2 Auxiliary Positioning" (2019), introduces a novel navigation system that leverages AprilTags2 visual markers to enhance positioning reliability and operational flexibility. This contribution has garnered 3 citations, reflecting its relevance in the field of industrial automation and robotics. Wang's research bridges computer vision and practical AGV deployment, offering a cost-effective solution for dynamic environments. Her work is notable for its potential to improve warehouse logistics and manufacturing efficiency, demonstrating a clear impact on real-world automation challenges. As a researcher, Wang continues to advance the integration of visual-aided positioning systems, contributing to the evolution of intelligent, adaptive mobile robots.