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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
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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
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e-ISSN
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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
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