Yuqiong You

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About

Yuqiong You is a pioneering researcher in mobile robotics and visual-inertial navigation, with a career spanning over three decades. Her key research areas include simultaneous localization and mapping (SLAM), robot localization, and computer vision for autonomous systems. You’s most significant contribution is her 2023 work on "A Robust Visual–Inertial SLAM in Complex Indoor Environments," which has garnered 16 citations. This paper introduces an innovative SLAM method based on edge alignment, specifically designed for mobile robots with limited payloads operating in challenging indoor settings with weak textures and multiple corners—a critical advancement for real-world deployment. Earlier, in 1992, You proposed a novel approach to determining robot location using cylindrical object shapes, requiring no intrinsic camera parameters and relying solely on 3-D vector algebra. This early work, while less cited, demonstrated her forward-thinking approach to simplifying localization without alignment errors. Her research bridges foundational geometric methods with modern sensor fusion, offering practical solutions for autonomous navigation. You’s work continues to inspire students and researchers tackling the complexities of robot perception in unstructured environments.