AGVs mission control support in smart factories by decision networks

Stanislav Vechet, Jiri Krejsa, Kuo Shen Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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. The internal diagnostics monitors the sensors/inputs signals and internal communication channels to take decision on further actions to perform within the given environment [13]. 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.

Original languageEnglish
Title of host publicationProceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020
EditorsDusan Maga, Jiri Hajek
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728156019
DOIs
Publication statusPublished - 2020 Dec 2
Event19th International Conference on Mechatronics - Mechatronika, ME 2020 - Prague, Czech Republic
Duration: 2020 Dec 22020 Dec 4

Publication series

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

Conference

Conference19th International Conference on Mechatronics - Mechatronika, ME 2020
CountryCzech Republic
CityPrague
Period20-12-0220-12-04

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Mechanical Engineering

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