Haoyue Lin

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About

Haoyue Lin is a researcher in intelligent robotics and autonomous navigation, with a focus on multi-sensor information fusion and automated guided vehicle (AGV) systems. Their most cited work, "Development of multi-sensor information fusion and AGV navigation system" (2020), has garnered 24 citations, reflecting its significance in advancing wheeled mobile robot (WMR) technology. Lin’s major contribution lies in integrating electromagnetic and optical guiding mechanisms to enhance AGV navigation and safety, enabling more reliable autonomous transport in industrial settings. This work addresses critical challenges in sensor fusion, route planning, and obstacle avoidance, laying groundwork for smarter logistics and manufacturing automation. Lin’s research is particularly notable for bridging theoretical sensor fusion algorithms with practical AGV deployment, offering solutions that improve efficiency and reduce human intervention in material handling. As a researcher, Lin demonstrates a clear commitment to developing robust, real-world robotic systems, making their work valuable for students and engineers exploring autonomous navigation, multi-sensor integration, and industrial robotics. Their contributions continue to influence the evolution of intelligent transport systems in smart factories and warehouses.