Chuanyan Wu

Papers

Total Citations

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About

Chuanyan Wu is a researcher at the forefront of intelligent robotics and computer vision, with a particular focus on applying deep learning to real-world security and automation challenges. Wu’s most cited work, "Campus Security Inspection Robot Based on YOLO Algorithm" (2024), demonstrates a practical integration of the YOLO object detection framework into autonomous patrol systems, addressing critical needs in campus safety. This paper has already garnered early citations, signaling growing interest in Wu’s approach to deploying lightweight, real-time detection models on mobile robotic platforms. By combining robotics with state-of-the-art computer vision, Wu contributes to the development of cost-effective, scalable security solutions that can operate in dynamic environments. The work highlights Wu’s ability to bridge algorithmic innovation with tangible engineering applications, making it a valuable reference for researchers exploring autonomous surveillance, edge AI, and human-robot interaction. As Wu’s research continues to evolve, their contributions are poised to influence both academic studies and practical deployments in smart campus and urban security systems.