Yuan Liang Zhang

Papers

Total Citations

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About

Yuan Liang Zhang is a researcher whose work centers on mobile robot navigation and sensor fusion, with a particular focus on integrating Dead Reckoning (DR) and Global Positioning System (GPS) technologies. His most cited paper, "Robot Navigation Using a DR/GPS Data Fusion" (2013), addresses a critical challenge in autonomous robotics: the inherent drift and error accumulation of DR systems over time, which limits their long-term reliability. By combining DR’s short-term precision with GPS’s global positioning capabilities, Zhang proposed a data fusion approach that enhances navigation accuracy in outdoor environments, effectively mitigating the unbounded error growth of standalone DR. This contribution has garnered 4 citations, reflecting its relevance to researchers tackling localization in mobile robotics. Zhang’s work is notable for its practical application to real-world navigation problems, bridging the gap between theoretical sensor integration and robust robotic autonomy. His research continues to inform advancements in autonomous systems, where reliable positioning is essential for tasks ranging from logistics to exploration.