Qun Xiao

Papers

Total Citations

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About

Qun Xiao is a researcher specializing in intelligent robotics and computer vision, with a particular focus on applying deep learning algorithms to real-world security and automation challenges. Their most notable work, "Campus Security Inspection Robot Based on YOLO Algorithm" (2024), demonstrates a practical integration of the YOLO (You Only Look Once) object detection framework into autonomous robotic systems for campus surveillance. This contribution addresses critical needs in public safety by enabling real-time identification of potential threats, such as unauthorized individuals or hazardous objects, through efficient visual processing. While the paper has garnered 2 citations to date, its significance lies in its innovative fusion of robotics and AI for scalable security solutions. Xiao’s research bridges the gap between theoretical computer vision models and deployable robotic platforms, offering a blueprint for cost-effective, automated monitoring in educational environments. Their work underscores a commitment to enhancing safety through technology, with potential applications extending to smart cities and industrial inspection. As a researcher, Xiao exemplifies the growing trend of leveraging lightweight neural networks for edge computing in robotics, making their contributions particularly relevant for students and engineers exploring real-time AI deployment.