Yuanxin Wu

Papers

Total Citations

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About

Yuanxin Wu is a leading researcher in robotics, navigation, and sensor fusion, with a focus on solving fundamental pose estimation and visual reconstruction problems. His major contributions include pioneering the "pose-only" approach to visual navigation and 3D scene reconstruction, which addresses key challenges in large-scale scenarios and computational robustness—a work that has garnered 36 citations. Wu also advanced attitude estimation for magnetic and inertial measurement units by developing a novel partial-state updating Kalman filter with vectorial magnetic interference detection, earning 27 citations for its impact on robotics and aerospace applications. Additionally, he introduced the SE(n)++ framework, an efficient solution to multiple pose estimation problems that overcomes the nonconvexity of the special Euclidean group, achieving 8 citations. His work is notable for its practical implications in unmanned aerial vehicles, autonomous systems, and real-world robotic navigation. With a career dedicated to enhancing computational efficiency and robustness in pose estimation, Wu’s research continues to influence both theoretical advancements and applied technologies, making him a key figure in modern robotics and navigation science.