• DocumentCode
    1836327
  • Title

    Decentralized control of autonomous guided vehicles scalable warehouse systems

  • Author

    Holvoet, Prof Tom

  • Author_Institution
    Dept. of Comput. Sci., Katholieke Univ., Leuven, Belgium
  • fYear
    2005
  • fDate
    38482
  • Firstpage
    11
  • Lastpage
    18
  • Abstract
    In an R&D project with both the AgentWise/DistriNet research group and Egemin N.V., the feasibility of an innovative, decentralized solution for managing and controlling warehouse management using automated guided vehicles, called E´GVs is investigated. The study is triggered by new and future system requirements such as scalability and flexibility. We exploit principles and mechanisms known from situated multi-agent systems for modelling and implementing a decentralized control system. We aim to provide the E´GVs with a considerable amount of autonomy. Besides a scalable solution, this allows to obtain a system that is far more flexible than the current software - the E´GVs adapt themselves to the current situation in their direct vicinity, order assignment is dynamic, the system can cope with EOVs leaving the system (e.g. for maintenance) or adding new E´GVs, and so on. In this paper, we describe the architecture that is employed for the control of the E´GV system. The implementation of the control software is in C#, which seamlessly integrates with E´nsor, the low-level vehicle control system.
  • Keywords
    control engineering computing; decentralised control; industrial robots; multi-agent systems; remotely operated vehicles; warehouse automation; autonomous guided vehicles; control software; decentralized control system; low-level vehicle control system; multi-agent systems; scalable warehouse systems; warehouse management control;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Autonomous Agents in Control, 2005. The IEE Seminar on (Ref. No. 2005/10986)
  • ISSN
    0537-9989
  • Print_ISBN
    0-86341-496-6
  • Type

    conf

  • DOI
    10.1049/ic:20050178
  • Filename
    1499800