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    Volume 2, Issue 4, IECE Transactions on Internet of Things
    Volume 2, Issue 4, 2024
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    IECE Transactions on Internet of Things, 2024, Volume 2, Issue 4: 95-112

    Free Access | Research Article | 31 December 2024
    Intelligent Logistics Management Robot Path Planning Algorithm Integrating Transformer and GCN Network
    by
    IECE Author Hao Luo 1
    IECE Author Jianjun Wei 2
    IECE Author Shuchen Zhao 3
    IECE Author Ankai Liang 4
    IECE Author Zhongjin Xu 5
    IECE Author Ruxue Jiang 6 *
    1 Department of Computer Science, Rutgers University, NJ 08854, United States
    2 Department of Computer Science and Engineering, Washington University in St. Louis, St Louis, United States
    3 Duke Electrical & Computer Engineering, Duke University, Durham, NC 27708, United States
    4 Stevens Institute of Technology, Newark, CA 94560, United States
    5 University of Michigan-Dearborn, MI 48128, United States
    6 Northeastern University, Seattle, WA 98109, United States
    * Corresponding Author: Ruxue Jiang, [email protected]
    DOI: 10.62762/TIOT.2024.918236
    Received: 22 November 2024, Accepted: 24 December 2024, Published: 31 December 2024  
    Abstract
    This study focuses on optimizing multimodal robot route planning in intelligent logistics management by integrating Transformer models, Graph Neural Networks (GNNs), and Generative Adversarial Networks (GANs). Using a graph structure representing map information, cargo distribution, and robot states, spatial and resource constraints are considered to optimize paths. Extensive simulations based on real logistics datasets demonstrate significant improvements over traditional methods, with an average 15\% reduction in path length, 20% improvement in time efficiency, and 10% reduction in energy consumption. These results underscore the effectiveness and superiority of the proposed multimodal path planning algorithm, offering robust support for advancing intelligent logistics management.
    Graphical Abstract
    Intelligent Logistics Management Robot Path Planning Algorithm Integrating Transformer and GCN Network
    Keywords
    multimodal robots
    deep path planning
    transformer model
    graph neural network
    generative adversarial network
    Funding
    This work was supported without any funding.
    Cite This Article
    APA Style
    Luo, H., Wei, J., Zhao, S., Liang, A., Xu, Z., & Jiang, R. (2024). Intelligent Logistics Management Robot Path Planning Algorithm Integrating Transformer and GCN Network. IECE Transactions on Internet of Things, 2(4), 95–112. https://doi.org/10.62762/TIOT.2024.918236
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    IECE Transactions on Internet of Things

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