Xuejiao Yan

Papers

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About

Xuejiao Yan is a robotics researcher focused on autonomous navigation and perception for mobile robots operating in complex, unstructured outdoor environments. Her work addresses the critical challenge of enabling self-driving robots to explore unknown terrains without human intervention. Yan’s most impactful contribution is her 2019 paper on an autonomous exploration algorithm that uses environment-robot interacted traversability analysis, which has garnered 32 citations. This frontier-based approach processes raw 3D point cloud data to allow robots to assess terrain passability in real time, dramatically improving exploration efficiency on irregular ground. She further advanced the field with her 2021 work on a localization and navigation system for patrol robots using 3D LiDAR, which records patrol waypoints and environmental point clouds to enable robust, large-scale outdoor navigation. Yan’s research bridges the gap between theoretical autonomy and practical deployment, making her work essential for applications in search-and-rescue, environmental monitoring, and security patrols. Her contributions continue to influence the development of resilient, terrain-aware robotic systems.