Publication Details

End-User Robot Programming Case Study: Augmented Reality vs. Teach Pendant

KAPINUS, M.; MATERNA, Z.; BAMBUŠEK, D.; BERAN, V. End-User Robot Programming Case Study: Augmented Reality vs. Teach Pendant. In Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. Cambridge: Association for Computing Machinery, 2020. p. 281-283. ISBN: 978-1-4503-7057-8.
Czech title
Případová Studie: Rozšířená Realita vs. Teach Pendant pro Zjednodušené Programování Robotů
Type
conference paper
Language
English
Authors
Kapinus Michal, Ing., Ph.D. (DCGM)
Materna Zdeněk, Ing., Ph.D. (DCGM)
Bambušek Daniel, Ing. (DCGM)
Beran Vítězslav, doc. Ing., Ph.D. (DCGM)
Keywords

end-user programming, robot, augmented reality, industrial robot, cobot, colaborative robot

Abstract

The work presents a preliminary experiment aimed on comparing a traditional method of programming an industrial collaborative robot using a teach pendant, with a novel method based on augmented reality and interaction on a high-level of abstraction. In the experiment, three participants programmed a visual inspection task. Subjective and objective metrics are reported as well as selected usability-related issues of both interfaces. The main purpose of the experiment was to get initial insight into the problematic of comparing highly different user interfaces and to provide a basis for a more rigorous comparison, that is going to be taken out.

Published
2020
Pages
281–283
Proceedings
Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
ISBN
978-1-4503-7057-8
Publisher
Association for Computing Machinery
Place
Cambridge
DOI
10.1145/3371382.3378266
UT WoS
000643728500089
EID Scopus
2-s2.0-85083156373
BibTeX 
@inproceedings{BUT162298,
  author="Michal {Kapinus} and Zdeněk {Materna} and Daniel {Bambušek} and Vítězslav {Beran}",
  title="End-User Robot Programming Case Study: Augmented Reality vs. Teach Pendant",
  booktitle="Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction",
  year="2020",
  pages="281--283",
  publisher="Association for Computing Machinery",
  address="Cambridge",
  doi="10.1145/3371382.3378266",
  isbn="978-1-4503-7057-8",
  url="https://www.fit.vut.cz/research/publication/12154/"
}
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