Comparing Different Augmented Reality Support Applications for Cooperative Repair of an Industrial Robot

Doris Aschenbrenner, Michael Rojkov, Florian Leutert, Jouke Verlinden, Stephan Lukosch, Marc Erich Latoschik, Klaus Schilling

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

Digitization and the growing capabilities of data networks enable companies to perform tasks via remote support, which previously required service personnel to travel. But which mixed reality method leads to better results regarding human factors, grounding and performance criteria? This paper reports on a collaborative user study, in which a local worker is guided by a remote expert with the help of different augmented reality methods. The performed task is an controller exchange in a switch cabinet of an industrial robot, a task rather typical for failure detection within the field. Our study was conducted in collaboration with a technician school of which 50 technician apprentices participated in our study. Our results show clear advantages of using augmented reality (AR) to enable remote support. It further gives significant indications for using a projection based AR method.
Original languageEnglish
Title of host publicationProceedings of International Symposium for Mixed and Augmented Reality 2018
PublisherIEEE
Pages69-74
DOIs
Publication statusPublished - 2018
EventIEEE International Symposium for Mixed and Augmented Reality 2018 - Munchen, Germany
Duration: 16 Oct 201820 Oct 2018

Conference

ConferenceIEEE International Symposium for Mixed and Augmented Reality 2018
Abbreviated titleISMAR 2018
CountryGermany
CityMunchen
Period16/10/1820/10/18

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  • Cite this

    Aschenbrenner, D., Rojkov, M., Leutert, F., Verlinden, J., Lukosch, S., Latoschik, M. E., & Schilling, K. (2018). Comparing Different Augmented Reality Support Applications for Cooperative Repair of an Industrial Robot. In Proceedings of International Symposium for Mixed and Augmented Reality 2018 (pp. 69-74). IEEE. https://doi.org/10.1109/ISMAR-Adjunct.2018.00036