SOLVING THE FAILING TRACK MARKER PROBLEM IN AUTOMATED GUIDED VEHICLE SYSTEMS – A CASE STUDY

Tomasz Lewowski

tomasz.lewowski@ratelware.com
Wrocław University of Science and Technology, Faculty of Computer Science and Management, Department of Applied Informatics, Wrocław, Poland; Octant sp. z o.o., www.octant.pl (Poland)
http://orcid.org/0000-0003-4897-1263

Abstract

This paper is a case study of the development of a localization and positioning subsystem of an Automated Guided Vehicle-based transportation system. The described system uses primarily RFID markers for localization. In some deployments, those markers occasionally fail, mostly due to being crushed by cargo platforms operated by a human or due to internal defects. Those failures are not common enough to warrant switching from marker-based localization to a more sophisticated technique, but they require additional effort from maintenance staff. In this case study, we present our solution to this problem – a self-tuning algorithm that is able to detect marker failures and, in most cases, keep the system operational. The paper briefly discusses business circumstances under which such a solution is reasonable and then describes in detail the entire technical process, including data acquisition, verification, algorithm development and finally, the result of deploying the system in production.


Keywords:

Industrial control, Unmanned vehicles, Fault tolerance, Maintenance

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Published
2020-09-30

Cited by

Lewowski, T. . (2020). SOLVING THE FAILING TRACK MARKER PROBLEM IN AUTOMATED GUIDED VEHICLE SYSTEMS – A CASE STUDY. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 10(3), 36–43. https://doi.org/10.35784/iapgos.1512

Authors

Tomasz Lewowski 
tomasz.lewowski@ratelware.com
Wrocław University of Science and Technology, Faculty of Computer Science and Management, Department of Applied Informatics, Wrocław, Poland; Octant sp. z o.o., www.octant.pl Poland
http://orcid.org/0000-0003-4897-1263

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