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AGVs mission control support in smart factories by decision networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F20%3A00537788" target="_blank" >RIV/61388998:_____/20:00537788 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9286465" target="_blank" >https://ieeexplore.ieee.org/document/9286465</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ME49197.2020.9286465" target="_blank" >10.1109/ME49197.2020.9286465</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    AGVs mission control support in smart factories by decision networks

  • Original language description

    Towards the implementation of AGV's (Automated Guided Vehicles) complex navigation tasks within the dynamic and hazardous environment of upcoming smart factories the developers challenges reliability and maintenance problem. While the number of AGVs in shared space gets higher the risk of failure follows the trend and both the users and developers need an adequate tool to monitor and diagnose all applied AGVs in real time. We have prepared a decision network to support the AGVs missions by real-time internal diagnostic to prepare more reliable AGV solutions in smart factories.nThe internal diagnostics monitors the sensors/inputs signals and internal communication channels to take decision on further actions to perform within the given environment. The main task for the decision network is to support the control system or human operator with possible decisions to take to avoid system failure.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020

  • ISBN

    978-172815601-9

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    9286465

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc.

  • Place of publication

    New York

  • Event location

    Praha

  • Event date

    Dec 2, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article