Yiran Zhang

Papers

Total Citations

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About

Yiran Zhang is an emerging researcher working at the intersection of robotics, autonomous systems, and spatial computing, with a particular focus on indoor positioning and simultaneous localization and mapping (SLAM) technologies. Zhang's most notable contribution centers on the development of a hybrid positioning framework that integrates ultra-wideband (UWB) positioning technology with visual SLAM systems, addressing one of the most pressing challenges in modern robotics: achieving reliable, high-accuracy localization in complex real-world environments. By combining the complementary strengths of visual odometry, inertial measurement units, and UWB sensing, Zhang's work tackles the inherent limitations of each individual technology, such as visual degradation in low-light conditions and UWB signal multipath interference, to produce a more robust and operationally stable solution. This research has direct applications in autonomous mobile robots, warehouse automation, and intelligent navigation systems. Although Zhang's publication record is in its early stages, with recent work already attracting citation attention in 2025, the practical relevance and technical depth of this research positions Zhang as a promising contributor to the rapidly evolving field of intelligent robotic perception and localization.