Yongfeng An

Ningbo Institute of Industrial Technology

Papers

Total Citations

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About

Yongfeng An is a researcher focused on advancing indoor localization and autonomous navigation for intelligent mobile robots. His primary research areas include sensor fusion, graph optimization, and ultra-wideband (UWB) positioning systems. An’s major contribution lies in developing a fusion positioning method that integrates UWB with odometry data using graph optimization techniques, significantly improving the accuracy and robustness of indoor localization for omnidirectional robots. This work, published in 2023, has already garnered 4 citations, reflecting its relevance in the growing field of indoor robotics. By addressing the challenge of precise positioning in GPS-denied environments, An’s research supports the development of more reliable autonomous systems for applications such as warehouse logistics, service robotics, and smart manufacturing. His approach demonstrates a practical balance between computational efficiency and real-time performance, making it suitable for deployment on resource-constrained platforms. As indoor robotics continues to expand, An’s contributions provide a foundation for future innovations in sensor integration and autonomous navigation, positioning him as a promising researcher in this domain.