Artificial intelligence task planning of cooperating low-cost mobile manipulators: a case study on a fully autonomous manufacturing application

  • Through the highly innovative processes introduced by the movement Industry 4.0, application of fully autonomous working processes is ready to be integrated into real-world manufacturing applications. While many tasks still require the human to handle particular parts or perform certain steps in the production chain, partial assembly may be performed by cooperating mobile manipulators in the near future. However, many smaller companies already fail to adapt to the new trends, as Industry 4.0, in spite of its beneficial aspects, is costly to implement, particularly in still low-automated sectors. In this work, we show how artificial intelligence task planning may be integrated with computer vision systems to achieve a fully autonomous manufacturing process. We also show how low-cost robots are adapted to process demands on diverse system levels.

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Metadaten
Author:Stefan-Octavian Bezrucav, Nils MandischerORCiDGND, Burkhard Corves
URN:urn:nbn:de:bvb:384-opus4-1178654
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/117865
ISSN:1877-0509OPAC
Parent Title (English):Procedia Computer Science
Publisher:Elsevier
Place of publication:Amsterdam
Type:Article
Language:English
Year of first Publication:2023
Publishing Institution:Universität Augsburg
Release Date:2025/01/07
Volume:217
First Page:306
Last Page:315
DOI:https://doi.org/10.1016/j.procs.2022.12.226
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Ingenieurinformatik mit Schwerpunkt Mechatronik
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 60 Technik / 600 Technik, Technologie
Licence (German):CC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)