You Wang

Civil Aviation Flight University of China, Zhejiang University

Papers

Total Citations

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About

You Wang is an innovative robotics and autonomous systems researcher whose work bridges the fields of unmanned aerial vehicles (UAVs), visual control, and mobile robotics. His research focuses on developing intelligent control methods that enhance the precision and stability of robotic systems through advanced sensing and feedback mechanisms. Wang's most notable contribution is his 2023 work on image-based visual servoing (IBVS) for UAVs, which introduces a fuzzy logic-driven approach to achieving precise positioning and motion control through visual feedback. This paper has already garnered 10 citations, reflecting the growing community interest in autonomous aerial systems. By integrating fuzzy logic into visual servoing frameworks, Wang addresses real-world challenges of robustness and adaptability that traditional control methods often struggle with. His earlier 2021 research on electronic image stabilization for spherical robots demonstrates his versatility across robotic platforms. Combining inertial measurement units with gray projection methods, Wang developed a real-time solution to the inherent visual instability caused by a spherical robot's characteristic swaying motion — a practical challenge with meaningful implications for mobile robot perception. Overall, Wang's research contributions reflect a dedication to making autonomous systems more perceptive, stable, and intelligent — qualities essential to the next generation of robotics applications.