Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications. 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019

Research Article

Cloud-Based AGV Control System

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  • @INPROCEEDINGS{10.1007/978-3-030-48513-9_24,
        author={Xiangnan Zhang and Wenwen Gong and Haolong Xiang and Yifei Chen and Dan Li and Yawei Wang},
        title={Cloud-Based AGV Control System},
        proceedings={Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications. 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019},
        proceedings_a={CLOUDCOMP},
        year={2020},
        month={6},
        keywords={Cloud environment AGV Control system},
        doi={10.1007/978-3-030-48513-9_24}
    }
    
  • Xiangnan Zhang
    Wenwen Gong
    Haolong Xiang
    Yifei Chen
    Dan Li
    Yawei Wang
    Year: 2020
    Cloud-Based AGV Control System
    CLOUDCOMP
    Springer
    DOI: 10.1007/978-3-030-48513-9_24
Xiangnan Zhang1, Wenwen Gong1, Haolong Xiang2, Yifei Chen1,*, Dan Li1, Yawei Wang1
  • 1: China Agricultural University
  • 2: University of Auckland
*Contact email: glfei_cau@126.com

Abstract

With the development of artificial intelligence technology, the application of mobile robots is more and more extensive. How to solve the control problem of mobile robots in complex network environment is one of the core problems that plague the promotion and application of AGV clusters. In view of the above problems, this paper studies the control technology in the cloud big data environment, and realizes the decision, planning and control of AGV in the cloud environment. Firstly, cloud-side data sharing and cross-domain collaboration are used to realize intelligent adaptive association of heterogeneous data, then establish a collaborative hierarchical information cloud processing model, and design a new AGV sensing structure based on various devices such as laser radar and ultrasonic sensors. Finally, a set of AGV motion control methods in cloud environment is proposed. The experimental results show that the efficient coordination among network nodes in the heterogeneous AGV system in the cloud environment is stable overall and has a lower delay rate, which will greatly promote the application of AGV in various complex network environments.