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Decentralized control of automatic guided vehicles: applying multi-agent systems in practice

Published: 19 October 2008 Publication History

Abstract

An automatic guided vehicle (AGV) transportation system is a fully automated system that provides logistic services in an industrial environment such as a warehouse or a factory. Traditionally, the AGVs that execute the transportation tasks are controlled by a central server via wireless communication. In a joint effort between Egemin, an industrial manufacturer of AGV transportation systems, and DistriNet Labs research at the Katholieke Universiteit Leuven, we developed an innovative decentralized architecture for controlling AGVs. The driving motivations behind decentralizing the control of AGVs were new and future quality requirements such as flexibility and openness. At the software architectural level, the AGV control system is structured as a multi-agent system; the detailed design and implementation is object-oriented. In this paper, we report our experiences with developing the agent-based control system for AGVs. Starting from system requirements, we give an overview of the software architecture and we zoom in on a number of concrete functionalities. We reflect on our experiences and report lessons learned from applying multi-agent systems for real-world AGV control.

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cover image ACM Conferences
OOPSLA Companion '08: Companion to the 23rd ACM SIGPLAN conference on Object-oriented programming systems languages and applications
October 2008
306 pages
ISBN:9781605582207
DOI:10.1145/1449814
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 19 October 2008

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Author Tags

  1. AGV
  2. automatic guided vehicle
  3. decentralized control
  4. multi-agent system
  5. software architecture

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  • (2023)Adaptive Truck Platooning with Drones: A Decentralized Approach for Highway MonitoringElectronics10.3390/electronics1224491312:24(4913)Online publication date: 6-Dec-2023
  • (2023)MoDALAS: addressing assurance for learning-enabled autonomous systems in the face of uncertaintySoftware and Systems Modeling10.1007/s10270-023-01090-922:5(1543-1563)Online publication date: 18-Mar-2023
  • (2021)MoDALAS: Model-Driven Assurance for Learning-Enabled Autonomous Systems2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS)10.1109/MODELS50736.2021.00027(182-193)Online publication date: Oct-2021
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  • (2018)Future Technologies in Intralogistics and Material HandlingOperations, Logistics and Supply Chain Management10.1007/978-3-319-92447-2_24(545-574)Online publication date: 30-Aug-2018
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  • (2016)Modeling of decentralized processes in dynamic logistic networks by means of graph-transformational swarmsLogistics Research10.1007/s12159-016-0147-69:1Online publication date: 31-Aug-2016
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