Xiaoyang Hu

Papers

Total Citations

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About

Xiaoyang Hu is a leading researcher in autonomous mobile robotics, with a primary focus on indoor navigation systems. Their most influential work, "Autonomous Navigation System of Indoor Mobile Robots Using 2D Lidar" (2023, 28 citations), addresses critical challenges in map construction accuracy and path planning that have long hindered practical deployment of indoor robots. Hu's contributions center on developing robust algorithms for real-time environmental perception and navigation in complex indoor spaces, significantly advancing the reliability of autonomous systems in warehouses, hospitals, and smart buildings. By improving 2D Lidar-based simultaneous localization and mapping (SLAM) techniques, Hu has helped bridge the gap between theoretical robotics research and real-world applications. Their work is particularly notable for tackling the persistent problems of poor map fidelity and suboptimal route efficiency that plague many existing systems. With growing recognition in the robotics community, Hu's research continues to shape the next generation of autonomous indoor robots, making them safer, more accurate, and more practical for everyday use.