Yimin Fan

Papers

Total Citations

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About

Yimin Fan is a researcher whose work sits at the intersection of logistics automation and artificial intelligence, with a particular focus on intelligent path planning for robotic systems. His most notable contribution, "Research on Intelligent Pick-Up Route Planning of a Logistics Cycle Automatic Robot" (2022), addresses a critical challenge in modern supply chain management: improving the efficiency of autonomous robots tasked with goods retrieval. In this work, Fan systematically analyzes the limitations of traditional particle swarm optimization algorithms and proposes a refined, AI-driven approach that significantly enhances route planning performance. By optimizing the algorithm’s convergence speed and path accuracy, his research offers a practical solution for reducing operational costs and increasing throughput in automated warehouses and logistics centers. While his citation count is currently modest, Fan’s work represents an important step toward bridging theoretical optimization methods with real-world robotic applications. His contributions are particularly relevant for researchers and engineers working at the intersection of swarm intelligence, autonomous navigation, and industrial logistics, laying groundwork for more adaptive and efficient robotic systems in the era of smart manufacturing.