Xujun Xu
Papers
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1
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About
Xujun Xu is a researcher advancing the field of autonomous navigation under uncertainty. His work focuses on developing algorithms that enable intelligent systems to make robust path-planning decisions when environmental information is incomplete or unpredictable. His most-cited paper, "ANMIP: Adaptive Navigation based on Mutual Information Perception in Uncertain Environments" (2023), addresses a critical limitation in existing approaches like the Canadian Traveller’s Problem (CTP), which often assume access to accurate environmental data. By integrating mutual information perception, Xu’s method allows a navigating agent to adaptively gather and exploit the most informative observations, significantly improving decision-making in real-world, partially known settings. This contribution is foundational for applications in robotics, autonomous vehicles, and search-and-rescue operations. With his work garnering early citations, Xu is establishing himself as a key voice in bridging information theory and practical navigation, offering a principled way to manage the trade-off between exploration and exploitation in uncertain environments.
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