Nana Xu

Papers

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About

Dr. Nana Xu is a robotics researcher whose work focuses on practical, cost-effective solutions for autonomous navigation and environmental mapping. Her primary research areas include Simultaneous Localization and Mapping (SLAM), mobile robotics, and sensor integration for indoor automation. Dr. Xu’s most notable contribution is her 2022 paper, "A fast mapping for small mobile robot scanned by single line Lidar," which addresses a critical challenge in robotics: enabling small, self-propelled robots to efficiently build indoor environment maps using affordable, single-line LiDAR sensors. This work is significant for its emphasis on simplicity and low cost, making autonomous patrol monitoring and work planning more accessible for real-world applications. While her citation count is currently modest, her research lays important groundwork for deploying robots in everyday indoor settings without expensive hardware. Dr. Xu’s approach is particularly valuable for students and engineers seeking to bridge the gap between high-end robotic systems and practical, deployable solutions. Her dedication to streamlining SLAM processes for small platforms marks her as a promising contributor to the field of accessible robotics.