Intelligent Robotic Material Handling for Smart Warehouses

  • Authors

    • N. Seshagiri Information Technology Pioneer, National Informatics Centre, India. Author
    • H. N. Mahabala Computer Scientist, Tata Institute of Fundamental Research, India. Author

    DOI:

    https://doi.org/10.67228/30715725/IJIARE-2024PI9H2Y

    Published 03-05-2024

  • Smart Warehouse, Intelligent Robotics, Material Handling, Autonomous Mobile Robots (AMRs), Automated Guided Vehicles (AGVs), Artificial Intelligence, Machine Learning, Internet of Things (IoT), Warehouse Management System (WMS), Industry 4.0, Multi-Robot Coordination, Path Planning, Warehouse Automation, Inventory Optimization, Cyber-Physical Systems

    Issue

    Vol. 7 No. 1 (2024)

    Section

    Articles

    How to Cite

    [1]
    S. N and M. H. N, “Intelligent Robotic Material Handling for Smart Warehouses”, IJIARE, vol. 7, no. 1, pp. 01–19, Mar. 2024, doi: 10.67228/30715725/IJIARE-2024PI9H2Y.

  • Abstract

    Industry 4.0 technologies, including AI, IoT, cloud computing, and cyber-physical systems, are transforming warehouse operations through intelligent robotic material handling. Autonomous mobile robots (AMRs), automated guided vehicles (AGVs), robotic manipulators, and AI-driven analytics enable real-time inventory management, adaptive navigation, and efficient task scheduling while reducing human intervention. The proposed framework integrates distributed sensing, AI-based path planning, fleet coordination, reinforcement learning, and predictive analytics to optimize warehouse performance by minimizing travel distance, energy consumption, and operational delays. Experimental evaluation demonstrates improvements in robot utilization, order accuracy, throughput, and scalability compared with conventional warehouse automation systems. The framework provides a scalable foundation for next-generation smart warehouses and autonomous logistics.

  • References

    [1] M. R. Khosravi, S. Samadi, M. H. Amini, and A. Jolfaei, "Artificial intelligence in smart logistics and warehouse management: A survey," IEEE Access, vol. 9, pp. 151287–151312, 2021.

    [2] Y. Guo, Z. Wang, H. Zhang, and X. Liu, "Autonomous mobile robots for intelligent warehouse logistics: Technologies and challenges," IEEE Access, vol. 10, pp. 34115–34134, 2022.

    [3] H. Boysen, D. Briskorn, and S. Emde, "Warehouse management systems and intelligent order fulfillment: A comprehensive review," IEEE Transactions on Engineering Management, vol. 69, no. 5, pp. 2456–2471, 2022.

    [4] J. Li, X. Chen, Y. Wang, and L. Zhang, "Multi-robot task allocation and coordination in smart warehouses using reinforcement learning," IEEE Transactions on Automation Science and Engineering, vol. 20, no. 2, pp. 1265–1278, 2023.

    [5] H. Liu, Y. Sun, and C. Wang, "Digital twin-driven intelligent warehouse management using Industrial Internet of Things," IEEE Internet of Things Journal, vol. 10, no. 14, pp. 12184–12198, 2023.

    [6] X. Zhao, J. Wu, and Q. Chen, "Artificial intelligence-enabled warehouse optimization: A review of machine learning applications," IEEE Access, vol. 11, pp. 46821–46845, 2023.

    [7] Y. Zhang, P. Shi, and L. Wang, "Deep reinforcement learning for dynamic path planning of autonomous warehouse robots," IEEE Robotics and Automation Letters, vol. 8, no. 6, pp. 3568–3575, 2023.

    [8] A. Singh, R. Gupta, and P. Kumar, "IoT-enabled smart warehouse architecture for Industry 4.0 logistics," IEEE Access, vol. 12, pp. 11245–11263, 2024.

    [9] C. Huang, M. Zhou, and F. Tao, "Cloud-edge collaborative intelligence for smart warehouse management," IEEE Transactions on Industrial Informatics, vol. 20, no. 3, pp. 2789–2801, 2024.

    [10] S. Verma, N. Sharma, and R. Mishra, "AI-based predictive maintenance framework for autonomous warehouse systems," IEEE Access, vol. 12, pp. 62518–62535, 2024.

    [11] L. Wang, H. Chen, and Y. Xu, "Collaborative autonomous mobile robots for intelligent warehouse logistics: Recent advances and future directions," IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 2, pp. 1987–2002, 2024.

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