Xin Xu

Wuhan University of Science and Technology, Nanjing Institute of Technology

Papers

Total Citations

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About

Xin Xu is a researcher whose work spans the domains of autonomous robotics, mobile navigation, and marine technology. With contributions to both terrestrial and aquatic autonomous systems, Xu's research addresses practical challenges in perception and environmental sensing for robotic platforms. One of Xu's notable contributions is in LiDAR-based odometry, where their 2025 paper on an Adaptive ICP LiDAR Odometry system introduces a novel approach to improving pose estimation reliability in autonomous navigation. By refining the Iterative Closest Point algorithm with dependable initial pose constraints, this work advances the accuracy and robustness of positioning systems critical for self-driving vehicles and mobile robots — a paper that has already begun attracting scholarly attention with early citations. Xu has also demonstrated a breadth of expertise in underwater and offshore robotics, contributing to image processing methodologies for offshore cage inspection. Their 2021 study applies sophisticated techniques including Retinex algorithm-based fusion filtering and color space conversion to enhance underwater imagery quality, supporting structural integrity assessments of aquaculture infrastructure through robotic platforms. Though early in citation accumulation, Xu's interdisciplinary approach — bridging autonomous navigation algorithms with real-world marine and terrestrial applications — positions their work as a meaningful contribution to the growing field of intelligent robotic systems.