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

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

doi:10.1109/ismar-adjunct.2018.00036

Cited by 23 publications

(12 citation statements)

References 12 publications

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“…Aschenbrenner et al [20] conducted a study on the repair of a controller inside Robotstar V switch cabinet manufactured by KUKA Industries. In their study, three out of the four methods employed to perform the maintenance operation are AR-based.…”

Section: Resultsmentioning

confidence: 99%

A Review on Augmented Reality Tracking Methods for Maintenance of Robots

et al. 2020

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Augmented reality (AR) in maintenance is a broad subject with many nuances when it comes to their implementation. The applications of these systems range from maintenance of large-scale assets such as buildings to smaller scale assets such as robots. Applications of AR in maintenance typically serves as a visual guide to assist users in diagnosis or steps needed to be performed for maintenance. In this paper, the tracking methods utilized in AR-based maintenance for robots are qualitatively evaluated. The reviewed works in this paper are between the years of 2015 to 2020 to ensure that the AR tracking methods are relatively state of the art. It is found that applications of AR-based maintenance for robots are uncommon in the scope defined in this research especially in the industrial environment as most reviewed works are conducted in a laboratory setting. In addition to that, it is found that marker-based tracking methods are commonly utilized in these applications.

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Section: Resultsmentioning

confidence: 99%

A Review on Augmented Reality Tracking Methods for Maintenance of Robots

et al. 2020

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“…Furthermore, only the third experiment conducted a grounding analysis. For additional information to the third experiment see Aschenbrenner et al ( 2018b ). This section only contains the ANOVA comparison of the conditions within each study.…”

Section: Resultsmentioning

confidence: 99%

“…With respect to usability, the head mounted display had lower values than the Augmented Reality implementations on the tablet PC (3TT and 3TS). The results of the grounding analysis presented in Aschenbrenner et al ( 2018b ) showed, that significant differences in how the worker and the supervisor communicate and interact with each other can be found, if the visual media are compared with phone support. From the results of the third study, one would point a potential industrial user toward projection-based SAR or (being conservative) to the usage of a tablet PC with screenshot and visual cues.…”

Section: Discussionmentioning

confidence: 99%

“…Summarizing the results of Aschenbrenner et al (2018b) the analysis of grounding analysis showed that all visual media performed significantly better than the phone condition.…”

Section: Third Study: Apprentices Collaboration-modementioning

confidence: 93%

“…Sixty-four percent said that they solve those tasks from time to time in teamwork and 34% said that they work in a team regularly. The individual results of this study have already been published in Aschenbrenner et al (2018b).…”

Section: Third Study: Apprentices Collaboration-modementioning

confidence: 96%

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Comparing Human Factors for Augmented Reality Supported Single-User and Collaborative Repair Operations of Industrial Robots

Aschenbrenner

Leutert²,

Cencen

et al. 2019

Front. Robot. AI

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In order to support the decision-making process of industry on how to implement Augmented Reality (AR) in production, this article wants to provide guidance through a set of comparative user studies. The results are obtained from the feedback of 160 participants who performed the same repair task on a switch cabinet of an industrial robot. The studies compare several AR instruction applications on different display devices (head-mounted display, handheld tablet PC and projection-based spatial AR) with baseline conditions (paper instructions and phone support), both in a single-user and a collaborative setting. Next to insights on the performance of the individual device types for the single mode operation, the study is able to show significant indications on AR techniques are being especially helpful in a collaborative setting.

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Augmented Reality Remote Maintenance in Industry: A Systematic Literature Review

Breitkreuz

Müller

Stegelmeyer

et al. 2022

Lecture Notes in Computer Science

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material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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

Cited by 23 publications

References 12 publications

A Review on Augmented Reality Tracking Methods for Maintenance of Robots

A Review on Augmented Reality Tracking Methods for Maintenance of Robots

Comparing Human Factors for Augmented Reality Supported Single-User and Collaborative Repair Operations of Industrial Robots

Augmented Reality Remote Maintenance in Industry: A Systematic Literature Review

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