Abstract

Maintenance of technical equipment in manufacturing is inevitable for sustained productivity with minimal downtimes. Elimination of unscheduled interruptions as well as real-time monitoring of equipment health can potentially benefit from adopting augmented reality (AR) technology. How best to employ this technology in maintenance demands a fundamental comprehension of user requirements for production planners. Despite AR applications being developed to assist various manufacturing operations, no previous study has examined how these user requirements in maintenance have been fulfilled and the potential opportunities that exist for further development. Reviews on maintenance have been general on all industrial fields rather than focusing on a specific industry. In this regard, a systematic literature review was performed on previous studies on AR applications in the maintenance of manufacturing entities from 2017 to 2021. Specifically, the review examines how user requirements have been addressed by these studies and identifies gaps for future research. The user requirements are drawn from the challenges encountered during AR-based maintenance in manufacturing following a similar approach to usability engineering methodologies. The needs are identified as ergonomics, communication, situational awareness, intelligence sources, feedback, safety, motivation, and performance assessment. Contributing factors to those needs are cross-tabulated with the requirements and their results presented as trends, prior to drawing insights and providing possible future suggestions for the made observations.

Issue Section:
Special Section: Symbiotic Human-AI Partnership for Next Generation Factories
Keywords:
augmented reality, maintenance, usability, user requirements, human computer interfaces/interactions, symbolic computing for engineering applications, virtual and augmented reality environments
Topics:
Maintenance, Manufacturing, Feedback, Augmented reality

References

1.
Cholasuke
,
C.
,
Bhardwa
,
R.
, and
Antony
,
J.
,
2004
, “
The Status of Maintenance Management in UK Manufacturing Organisations: Results From a Pilot Survey
,”
J. Qual. Maint. Eng.
,
10
(
1
), pp.
5
–
15
.
2.
Bamber
,
C. J.
,
Sharp
,
J. M.
, and
Hides
,
M. T.
,
1999
, “
Factors Affecting Successful Implementation of Total Productive Maintenance: A UK Manufacturing Case Study Perspective
,”
J. Qual. Maint. Eng.
,
5
(
3
), pp.
162
–
181
.
3.
Bottani
,
E.
, and
Vignali
,
G.
,
2019
, “
Augmented Reality Technology in the Manufacturing Industry: A Review of the Last Decade
,”
IISE Trans.
,
51
(
3
), pp.
284
–
310
.
4.
Opiyo
,
S.
,
Zhou
,
J.
,
Mwangi
,
E.
,
Kai
,
W.
, and
Sunusi
,
I.
,
2021
, “
A Review on Teleoperation of Mobile Ground Robots: Architecture and Situation Awareness
,”
Int. J. Control Autom. Syst.
,
19
(
3
), pp.
1384
–
1407
.
5.
Elia
,
V.
,
Gnoni
,
M. G.
, and
Lanzilotto
,
A.
,
2016
, “
Evaluating the Application of Augmented Reality Devices in Manufacturing From a Process Point of View: An AHP Based Model
,”
Expert Syst. Appl.
,
63
, pp.
187
–
197
.
6.
Sahu
,
C. K.
,
Young
,
C.
, and
Rai
,
R.
,
2020
, “
Artificial Intelligence (AI) in Augmented Reality (AR)-Assisted Manufacturing Applications: A Review
,”
Int. J. Prod. Res.
,
59
(
16
), pp.
4903
–
4959
.
7.
Egger
,
J.
, and
Masood
,
T.
,
2020
, “
Augmented Reality in Support of Intelligent Manufacturing—A Systematic Literature Review
,”
Comput. Ind. Eng.
,
140
, p.
106195
.
8.
Ong
,
S. K.
,
Yuan
,
M. L.
, and
Nee
,
A. Y. C.
,
2008
, “
Augmented Reality Applications in Manufacturing: A Survey
,”
Int. J. Prod. Res.
,
46
(
10
), pp.
2707
–
2742
.
9.
Wang
,
P.
,
Zhang
,
S.
,
Billinghurst
,
M.
,
Bai
,
X.
,
He
,
W.
,
Wang
,
S.
,
Sun
,
M.
, and
Zhang
,
X.
,
2020
, “
A Comprehensive Survey of AR/MR-Based Co-Design in Manufacturing
,”
Eng. Comput.
,
36
(
4
), pp.
1715
–
1738
.
10.
Baroroh
,
D. K.
,
Chu
,
C.
, and
Wang
,
L.
,
2020
, “
Systematic Literature Review on Augmented Reality in Smart Manufacturing: Collaboration Between Human and Computational Intelligence
,”
J. Manuf. Syst.
,
61
, pp.
696
–
711
.
11.
Gattullo
,
M.
,
Dammacco
,
L.
,
Ruospo
,
F.
,
Evangelista
,
A.
,
Fiorentino
,
M.
,
Schmitt
,
J.
, and
Uva
,
A. E.
,
2020
, “
Design Preferences on Industrial Augmented Reality: A Survey With Potential Technical Writers
,”
Adjunct Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2020
,
Recife, Brazil
,
Nov. 9–13
, pp.
172
–
177
.
12.
Ahuja
,
I. S.
,
2011
, “
Total Productive Maintenance Practices in Manufacturing Organisations: Literature Review
,”
Int. J. Technol. Policy Manage.
,
11
(
2
), pp.
117
–
138
.
13.
Ahuja
,
I. P. S.
, and
Khamba
,
J. S.
,
2008
, “
Total Productive Maintenance: Literature Review and Directions
,”
Int. J. Qual. Reliab. Manage.
,
25
(
7
), pp.
709
–
756
.
14.
Budai
,
G.
,
Dekker
,
R.
, and
Nicolai
,
R. P.
,
2008
, “Maintenance and Production: A Review of Planning Models,”
Complex Systems Maintenance Handbook
,
Springer
,
London
, pp.
321
–
344
.
15.
Hami
,
N.
,
Shafie
,
S. M.
,
Omar
,
S.
,
Ibrahim
,
Y. M.
,
Sabah
,
A. S.
, and
Mohd
,
R. M.
,
2020
, “
A Review of Sustainable Maintenance in the Manufacturing Companies
,”
Int. J. Supply Chain Manage.
,
9
(
3
), pp.
935
–
944
.
16.
Franciosi
,
C.
,
Voisin
,
A.
,
Miranda
,
S.
,
Riemma
,
S.
, and
Iung
,
B.
,
2020
, “
Measuring Maintenance Impacts on Sustainability of Manufacturing Industries: From a Systematic Literature Review to a Framework Proposal
,”
J. Clean. Prod.
,
260
, p.
121065
.
17.
Jin
,
X.
,
Siegel
,
D.
,
Weiss
,
B. A.
,
Gamel
,
E.
,
Wang
,
W.
,
Lee
,
J.
, and
Ni
,
J.
,
2016
, “
The Present Status and Future Growth of Maintenance in US Manufacturing: Results From a Pilot Survey
,”
Manuf. Rev.
,
3
(
10
), pp.
1
–
27
.
18.
Dilanthi
,
M. G. S.
,
2013
, “
Improving Productivity With Maintenance Function in Manufacturing Industry of Sri Lanka: Literature Review
,”
Int. J. Educ. Res.
,
1
(
4
), pp.
1
–
10
.
19.
Silvestri
,
L.
,
Forcina
,
A.
,
Introna
,
V.
,
Santolamazza
,
A.
, and
Cesarotti
,
V.
,
2020
, “
Maintenance Transformation Through Industry 4.0 Technologies: A Systematic Literature Review
,”
Comput. Ind.
,
123
, p.
103335
.
20.
Lee
,
J.
,
1995
, “
Modern Computer-Aided Maintenance of Manufacturing Equipment and Systems: Review and Perspective
,”
Comput. Ind. Eng.
,
28
(
4
), pp.
793
–
811
.
21.
Palmarini
,
R.
,
Erkoyuncu
,
J. A.
,
Roy
,
R.
, and
Torabmostaedi
,
H.
,
2018
, “
A Systematic Review of Augmented Reality Applications in Maintenance
,”
Robot. Comput. Integr. Manuf.
,
49
(
March
), pp.
215
–
228
.
22.
del Amo
,
I. F.
,
Erkoyuncu
,
J. A.
,
Roy
,
R.
,
Palmarini
,
R.
, and
Onoufriou
,
D.
,
2018
, “
A Systematic Review of Augmented Reality Content-Related Techniques for Knowledge Transfer in Maintenance Applications
,”
Comput. Ind.
,
103
, pp.
47
–
71
.
23.
Gattullo
,
M.
,
Evangelista
,
A.
,
Uva
,
A. E.
,
Fiorentino
,
M.
, and
Gabbard
,
J.
,
2020
, “
What, How, and Why Are Visual Assets Used in Industrial Augmented Reality? A Systematic Review and Classification in Maintenance, Assembly, and Training (From 1997 to 2019)
,”
IEEE Trans. Vis. Comput. Graph.
,
28
(
2
), pp.
1443
–
1456
.
24.
Byvaltsev
,
S. V.
,
2020
, “
Review of the Features of Augmented Reality Application in the Training of Operators and Maintenance Staff
,”
IOP Conference Series: Materials Science and Engineering
,
Nizhny Tagil, Russia
,
June 18–19
.
25.
Koh
,
Y. S.
,
Goh
,
K. W.
,
Dares
,
M.
,
Yeong
,
C. F.
,
Ming
,
E. S. L.
,
Sunar
,
M. S.
, and
Tey
,
Y. S.
,
2020
, “
A Review on Augmented Reality Tracking Methods for Maintenance of Robots
,”
J. Teknol.
,
83
(
1
), pp.
37
–
43
.
26.
Princle
,
A.
,
Campbell
,
A. G.
,
Hutka
,
S.
,
Torrasso
,
A.
,
Couper
,
C.
,
Strunden
,
F.
,
Bajana
,
J.
,
Jastząb
,
K.
,
Croly
,
R.
, and
Quigley
,
R.
,
2018
, “
[Poster] Using an Industry-Ready AR HMD on a Real Maintenance Task: AR Benefits Performance on Certain Task Steps More Than Others
,”
2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
,
Munich, Germany
,
Oct. 16–20
, pp.
236
–
241
.
27.
Henderson
,
S. J.
, and
Feiner
,
S.
,
2009
, “
Evaluating the Benefits of Augmented Reality for Task Localization in Maintenance of an Armored Personnel Carrier Turret
,”
Science and Technology Proceedings—IEEE 2009 International Symposium on Mixed and Augmented Reality, ISMAR 2009
,
Orlando, FL
,
Oct. 19–22
, pp.
135
–
144
.
28.
Sanna
,
A.
,
Manuri
,
F.
,
Lamberti
,
F.
,
Paravati
,
G.
, and
Pezzolla
,
P.
,
2015
, “
Using Handheld Devices to Support Augmented Reality-Based Maintenance and Assembly Tasks
,”
2015 IEEE International Conference on Consumer Electronics, ICCE 2015
,
Las Vegas, NV
,
Jan. 9–12
, pp.
178
–
179
.
29.
Rowen
,
A.
,
Grabowski
,
M.
,
Rancy
,
J.-P.
, and
Crane
,
A.
,
2019
, “
Impacts of Wearable Augmented Reality Displays on Operator Performance, Situation Awareness, and Communication in Safety-Critical Systems
,”
Appl. Ergon.
,
80
, pp.
17
–
27
.
30.
Davis
,
G. B.
,
1982
, “
Strategies for Information Requirements Determination
,”
IBM Syst. J.
,
21
(
1
), pp.
4
–
30
.
31.
Lindgaard
,
G.
,
Dillon
,
R.
,
Trbovich
,
P.
,
White
,
R.
,
Fernandes
,
G.
,
Lundahl
,
S.
, and
Pinnamaneni
,
A.
,
2006
, “
User Needs Analysis and Requirements Engineering: Theory and Practice
,”
Interact. Comput.
,
18
(
1
), pp.
47
–
70
.
32.
Karwowski
,
W.
,
2006
, “The Discipline of Ergonomics and Human Factors,”
Handbook of Human Factors and Ergonomics
, Vol.
3
,
John Wiley & Sons
,
Hoboken, NJ
, pp.
3
–
31
.
33.
Aromaa
,
S.
,
Aaltonen
,
I.
,
Kaasinen
,
E.
,
Elo
,
J.
, and
Parkkinen
,
I.
,
2016
, “
Use of Wearable and Augmented Reality Technologies in Industrial Maintenance Work
,”
AcademicMindtrek 2016—Proceedings of the 20th International Academic Mindtrek Conference
,
Warsaw, Poland
,
July 1–3
, pp.
235
–
242
.
34.
Endsley
,
M. R.
,
1995
, “
Measurement of Situation Awareness in Dynamic Systems
,”
Hum. Factors
,
37
(
1
), pp.
65
–
84
.
35.
Oliveira
,
A.
,
Araujo
,
R.
, and
Jardine
,
A.
,
2014
, “
Human-Centered Interfaces for Situation Awareness in Maintenance
,”
International Conference on Human Interface and the Management of Information
,
Heraklion, Crete, Greece
,
June 22–27
, pp.
193
–
204
.
36.
Tatić
,
D.
, and
Tešić
,
B.
,
2017
, “
The Application of Augmented Reality Technologies for the Improvement of Occupational Safety in an Industrial Environment
,”
Comput. Ind.
,
85
, pp.
1
–
10
.
37.
Neumann
,
U.
, and
Majoros
,
A.
,
1998
, “
Cognitive, Performance, and Systems Issues for Augmented Reality Applications in Manufacturing and Maintenance
,”
Proceedings—Virtual Reality Annual International Symposium
,
Atlanta, GA
,
Mar. 14–18
, pp.
4
–
11
.
38.
Oliveira
,
A.
,
Caetano
,
N.
,
Botega
,
L. C.
, and
de Araújo
,
R. B.
,
2015
, “
A Head-up Display With Augmented Reality and Gamification for an E-Maintenance System: Using Interfaces and Gamification to Motivate Workers in Procedural Tasks
,”
HIMI: International Conference on Human Interface and the Management of Information
,
Los Angeles, CA
,
Aug. 2–7
.
39.
Jetter
,
J.
,
Eimecke
,
J.
, and
Rese
,
A.
,
2018
, “
Augmented Reality Tools for Industrial Applications: What Are Potential Key Performance Indicators and Who Benefits?
,”
Comput. Human Behav.
,
87
, pp.
18
–
33
.
40.
Lorenz
,
M.
,
Knopp
,
S.
, and
Klimant
,
P.
,
2018
, “
Industrial Augmented Reality: Requirements for an Augmented Reality Maintenance Worker Support System
,”
Adjunct Proceedings—2018 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2018
,
Munich, Germany
,
Oct. 16–20
, pp.
151
–
153
.
41.
Schlagowski
,
R.
,
Merkel
,
L.
, and
Meitinger
,
C.
,
2018
, “
Design of an Assistant System for Industrial Maintenance Tasks and Implementation of a Prototype Using Augmented Reality
,”
IEEE International Conference on Industrial Engineering and Engineering Management
,
Singapore
,
Dec. 10–13
, pp.
294
–
298
.
42.
Nikolic
,
V.
,
Elzer
,
P. F.
, and
Vetter
,
C.
,
2006
, “
A Monitor-Based AR System as a Support Tool for Industrial Maintenance
,”
IFAC Proc.
,
39
(
16
), pp.
902
–
907
.
43.
Mourtzis
,
D.
,
Angelopoulos
,
J.
, and
Zogopoulos
,
V.
,
2021
, “
Integrated and Adaptive AR Maintenance and Shop-Floor Rescheduling
,”
Comput. Ind.
,
125
.
44.
Kollatsch
,
C.
, and
Klimant
,
P.
,
2021
, “
Efficient Integration Process of Production Data Into Augmented Reality Based Maintenance of Machine Tools
,”
Prod. Eng.
,
15
(
3
), pp.
311
–
319
.
45.
Ivascu
,
C.-O.
,
Ursutiu
,
D.
, and
Samoila
,
C.
,
2021
, “
Augmented Reality Production Monitoring Control Room In: Auer M., May D. (eds) Cross Reality and Data Science in Engineering. REV 2020. Advances in Intelligent Systems and Computing
,”
International Conference on Remote Engineering and Virtual Instrumentation
,
Athens, GA
,
Feb. 26–28
.
46.
Morillo
,
P.
,
García-García
,
I.
,
Orduña
,
J. M.
,
Fernández
,
M.
, and
Juan
,
M. C.
,
2020
, “
Comparative Study of AR Versus Video Tutorials for Minor Maintenance Operations
,”
Multimed. Tools Appl.
,
79
(
11–12
), pp.
7073
–
7100
.
47.
Mourtzis
,
D.
,
Siatras
,
V.
, and
Angelopoulos
,
J.
,
2020
, “
Real-Time Remote Maintenance Support Based on Augmented Reality (AR)
,”
Appl. Sci.
,
10
(
5
), p.
1855
.
48.
Fleck
,
P.
,
Reyes-Aviles
,
F.
,
Pirchheim
,
C.
,
Arth
,
C.
, and
Schmalstieg
,
D.
,
2020
, “
Maui: Tele-Assistance for Maintenance of Cyber-Physical Systems
,”
VISIGRAPP 2020—Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
,
Valetta, Malta
,
Feb. 27–29
, pp.
800
–
812
.
49.
Park
,
K.-B.
,
Kim
,
M.
,
Choi
,
S. H.
, and
Lee
,
J. Y.
,
2020
, “
Deep Learning-Based Smart Task Assistance in Wearable Augmented Reality
,”
Robot. Comput. Integr. Manuf.
,
63
.
50.
Mourtzis
,
D.
,
Angelopoulos
,
J.
, and
Panopoulos
,
N.
,
2020
, “
A Framework for Automatic Generation of Augmented Reality Maintenance & Repair Instructions Based on Convolutional Neural Networks
,”
Procedia CIRP
,
93
, pp.
977
–
982
.
51.
Vorraber
,
W.
,
Gasser
,
J.
,
Webb
,
H.
,
Neubacher
,
D.
, and
Url
,
P.
,
2020
, “
Assessing Augmented Reality in Production: Remote-Assisted Maintenance With HoloLens
,”
Procedia CIRP
,
88
, pp.
139
–
144
.
52.
Coscetti
,
S.
,
Moroni
,
D.
,
Pieri
,
G.
, and
Tampucci
,
M.
,
2020
, “
Factory Maintenance Application Using Augmented Reality
,”
ACM International Conference Proceeding Series
,
Las Palmas de Gran Canaria, Spain
,
Jan. 7–9
.
53.
Illankoon
,
P.
, and
Tretten
,
P.
,
2020
, “
Collaborating AI and Human Experts in the Maintenance Domain
,”
AI Soc.
,
36
(
3
), pp.
817
–
828
.
54.
Vignali
,
G.
,
Bottani
,
E.
,
Guareschi
,
N.
,
Donato
,
L. D.
,
Ferraro
,
A.
,
Pirozzi
,
M.
,
Tomassini
,
L.
, and
Longo
,
F.
,
2019
, “
Development of a 4.0 Industry Application for Increasing Occupational Safety: Guidelines for a Correct Approach
,”
Proceedings—2019 IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2019
,
Valbonne Sophia-Antipolis, France
,
June 17–19
.
55.
Burova
,
A.
,
Mäkelä
,
J.
,
Hakulinen
,
J.
,
Keskinen
,
T.
,
Heinonen
,
H.
,
Siltanen
,
S.
, and
Turunen
,
M.
,
2020
, “
Utilizing VR and Gaze Tracking to Develop AR Solutions for Industrial Maintenance
,”
Conference on Human Factors in Computing Systems—Proceedings
,
Honolulu, HI
,
Apr. 25–30
.
56.
Dey
,
S.
, and
Sarkar
,
P.
,
2016
, “
Augmented Reality Based Integrated Intelligent Maintenance System for Production Line
,”
ACM International Conference Proceeding Series
,
Mumbai, India
,
Dec. 7–9
, pp.
126
–
131
.
57.
Ortega
,
M.
,
Ivorra
,
E.
,
Juan
,
A.
,
Venegas
,
P.
,
Martínez
,
J.
, and
Alcañiz
,
M.
,
2021
, “
Mantra: An Effective System Based on Augmented Reality and Infrared Thermography for Industrial Maintenance
,”
Appl. Sci.
,
11
(
1
), pp.
1
–
26
.
58.
Brauner
,
P.
,
Bremen
,
L.
,
Atorf
,
L.
,
Rast
,
M.
,
Ziefle
,
M.
, and
Rossmann
,
J.
,
2014
, “
Evaluation of Different Feedback Conditions on Worker’s Performance in an Augmented Reality-Based Support System for Carbon Fiber Reinforced Plastic Manufacturing
,”
Proceedings of the 5th International Conference on Applied Human Factors and Ergonomics AHFE 2014
,
Kraków, Poland
,
July 19–23
, CRC Press, Boca Raton, FL, pp.
5087
–
5097
.
59.
Brice
,
D.
,
Rafferty
,
K.
, and
McLoone
,
S.
,
2020
, “AugmenTech: The Usability Evaluation of an AR System for Maintenance in Industry,”
Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2020. Lecture Notes in Computer Science
, Vol.
12243
,
L.
De Paolis
, and
P.
Bourdot
, eds.,
Springer
,
Cham
.
60.
Nguyen
,
D.
, and
Meixner
,
G.
,
2020
, “Comparison User Engagement of Gamified and Non-Gamified Augmented Reality Assembly Training,”
Advances in Agile and User-Centred Software Engineering. LASD 2019, MIDI 2019. Lecture Notes in Business Information Processing
, Vol.
376
,
A.
Przybyłek
, and
M.
Morales-Trujillo
, eds.,
Springer
,
Cham
.
61.
Gattullo
,
M.
,
Evangelista
,
A.
,
Manghisi
,
V. M.
,
Uva
,
A. E.
,
Fiorentino
,
M.
,
Boccaccio
,
A.
,
Ruta
,
M.
, and
Gabbard
,
J. L.
,
2020
, “
Towards Next Generation Technical Documentation in Augmented Reality Using a Context-Aware Information Manager
,”
Appl. Sci.
,
10
(
3
), pp.
780
.
62.
Wang
,
Z.
,
Bai
,
X.
,
Zhang
,
S.
,
Billinghurst
,
M.
,
He
,
W.
,
Wang
,
Y.
,
Han
,
D.
,
Chen
,
G.
, and
Li
,
J.
,
2021
, “
The Role of User-Centered AR Instruction in Improving Novice Spatial Cognition in a High-Precision Procedural Task
,”
Adv. Eng. Inform.
,
47
, p.
101250
.
63.
He
,
F.
,
Ong
,
S. K.
, and
Nee
,
A. Y. C.
,
2019
, “
A Mobile Solution for Augmenting a Manufacturing Environment With User-Generated Annotations
,”
Information
,
10
(
2
), pp.
1
–
13
.
64.
Khalil
,
M.
,
Bergs
,
C.
,
Papadopoulos
,
T.
,
Wuchner
,
R.
,
Bletzinger
,
K.-U.
, and
Heizmann
,
M.
,
2019
, “
IIoT-Based Fatigue Life Indication Using Augmented Reality
,”
IEEE International Conference on Industrial Informatics (INDIN)
,
Helsinki, Finland
,
July 22–25
, pp.
746
–
751
.
65.
Freddi
,
M.
, and
Frizziero
,
L.
,
2020
, “
Design for Disassembly and Augmented Reality Applied to a Tailstock
,”
Actuators
,
9
(
4
), pp.
1
–
14
.
66.
Izquierdo-Domenech
,
J.
,
Linares-Pellicer
,
J.
, and
Orta-Lopez
,
J.
,
2020
, “
Supporting Interaction in Augmented Reality Assisted Industrial Processes Using a CNN-Based Semantic Layer
,”
Proceedings—2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020
,
Utrecht, The Netherlands
,
Dec. 14–18
, pp.
27
–
32
.
67.
Kim
,
J.
,
Lorenz
,
M.
,
Knopp
,
S.
, and
Klimant
,
P.
,
2020
, “
Industrial Augmented Reality: Concepts and User Interface Designs for Augmented Reality Maintenance Worker Support Systems
,”
Adjunct Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2020
,
Recife, Brazil
,
Nov. 9–13
, pp.
67
–
69
.
68.
Lorenz
,
M.
,
Knopp
,
S.
,
Kim
,
J.
, and
Klimant
,
P.
,
2020
, “
Industrial Augmented Reality: 3D-Content Editor for Augmented Reality Maintenance Worker Support System
,”
Adjunct Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2020
,
Recife, Brazil
,
Nov. 9–13
, pp.
203
–
205
.
69.
Prouzeau
,
A.
,
Wang
,
Y.
,
Ens
,
B.
,
Willett
,
W.
, and
Dwyer
,
T.
,
2020
, “
Corsican Twin: Authoring In Situ Augmented Reality Visualisations in Virtual Reality
,”
ACM International Conference Proceeding Series
,
Salerno, Italy
,
Sept. 28–Oct. 2
.
70.
Quint
,
F.
,
Loch
,
F.
, and
Bertram
,
P.
,
2017
, “
The Challenge of Introducing AR in Industry—Results of a Participative Process Involving Maintenance Engineers
,”
Procedia Manuf.
,
11
, pp.
1319
–
1323
.
71.
Vogel-Heuser
,
B.
,
Ziegltrum
,
S.
,
Frank
,
J.
,
Hasselfeld
,
F.
,
Grobl
,
H.
,
Botzenhardt
,
C.
, and
Werner
,
B.
,
2020
, “
Assisted Safety Test Execution Linking E-CAD and Test Management With Augmented Reality
,”
Proceedings—2020 IEEE Conference on Industrial Cyberphysical Systems, ICPS 2020
,
Tampere, Finland
,
June 10–12
, pp.
196
–
202
.
72.
Alves
,
F.
,
Badikyan
,
H.
,
Antonio Moreira
,
H. J.
,
Azevedo
,
J.
,
Moreira
,
P. M.
,
Romero
,
L.
, and
Leitao
,
P.
,
2020
, “
Deployment of a Smart and Predictive Maintenance System in an Industrial Case Study
,”
IEEE 29th International Symposium on Industrial Electronics (ISIE)
,
Delft, The Netherlands
,
June 17–19
, pp.
493
–
498
.
73.
Serras
,
M.
,
García-Sardiña
,
L.
,
Simões
,
B.
,
Álvarez
,
H.
, and
Arambarri
,
J.
,
2020
, “
Dialogue Enhanced Extended Reality: Interactive System for the Operator 4.0
,”
Appl. Sci.
,
10
(
11
), pp.
3960
.
74.
Obermair
,
F.
,
Althaler
,
J.
,
Seiler
,
U.
,
Zeilinger
,
P.
,
Lechner
,
A.
,
Pfaffeneder
,
L.
,
Richter
,
M.
, and
Wolfartsberger
,
J.
,
2020
, “
Maintenance With Augmented Reality Remote Support in Comparison to Paper-Based Instructions: Experiment and Analysis
,”
2020 IEEE 7th International Conference on Industrial Engineering and Applications, ICIEA 2020
,
Bangkok, Thailand
,
Apr. 16–21
, pp.
942
–
947
.
75.
Patibandla
,
J. S. K.
,
Adhikary
,
S. K.
, and
Ukey
,
J.
,
2020
, “
Augmented Reality for Assistive Maintenance and Real-Time Failure Analysis in Industries
,”
2nd International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2020—Conference Proceedings
,
Bangalore, India
,
Mar. 5–7
, pp.
149
–
153
.
76.
Gao
,
L.
,
Wu
,
F.
,
Liu
,
L.
, and
Wan
,
X.
,
2020
, “Construction of Equipment Maintenance Guiding System and Research on Key Technologies Based on Augmented Reality,”
Advanced Manufacturing and Automation IX. IWAMA 2019. Lecture Notes in Electrical Engineering
, Vol.
634
,
Y.
Wang
,
K.
Martinsen
,
T.
Yu
, and
K.
Wang
, eds.,
Springer
,
Singapore
.
77.
Ariansyah
,
D.
,
Rosa
,
F.
, and
Colombo
,
G.
,
2020
, “
Smart Maintenance: A Wearable Augmented Reality Application Integrated With CMMS to Minimize Unscheduled Downtime
,”
Comput. Aided Des. Appl.
,
17
(
4
), pp.
740
–
751
.
78.
Erkoyuncu
,
J.
, and
Khan
,
S.
,
2020
, “
Olfactory-Based Augmented Reality Support for Industrial Maintenance
,”
IEEE Access
,
8
, pp.
30306
–
30321
.
79.
Yigitbas
,
E.
,
Jovanovikj
,
I.
,
Sauer
,
S.
, and
Engels
,
G.
,
2020
, “
On the Development of Context-Aware Augmented Reality Applications
.”
80.
Horejsi
,
P.
,
Novikov
,
K.
, and
Simon
,
M.
,
2020
, “
A Smart Factory in a Smart City: Virtual and Augmented Reality in a Smart Assembly Line
,”
IEEE Access
,
8
, pp.
94330
–
94340
.
81.
Eder
,
M.
,
Hulla
,
M.
,
Mast
,
F.
, and
Ramsauer
,
C.
,
2020
, “
On the Application of Augmented Reality in a Learning Factory Working Environment
,”
Procedia Manuf.
,
45
, pp.
7
–
12
.
82.
Schmiedinger
,
T.
,
Petke
,
M.
,
von Czettritz
,
L.
,
Wohlschläger
,
B.
, and
Adam
,
M.
,
2020
, “
Augmented Reality as a Tool for Providing Informational Content in Different Production Domains
,”
Procedia Manuf.
,
45
, pp.
423
–
428
.
83.
Boonbrahm
,
S.
,
Boonbrahm
,
P.
, and
Kaewrat
,
C.
,
2020
, “
The Use of Marker-Based Augmented Reality in Space Measurement
,”
Procedia Manuf.
,
42
, pp.
337
–
343
.
84.
Ivaschenko
,
A.
,
Avsievich
,
V.
, and
Sitnikov
,
P.
,
2020
, “AR Guides Implementation for Industrial Production and Manufacturing,”
Advances in Automation. RusAutoCon 2019. Lecture Notes in Electrical Engineering
, Vol.
641
,
A.
Radionov
, and
A.
Karandaev
, eds.,
Springer
,
Cham
.
85.
Barreiros
,
C.
,
Silva
,
N.
,
Pammer-Schindler
,
V.
, and
Veas
,
E.
,
2020
, “Nature at Your Service—Nature Inspired Representations Combined With Eye-Gaze Features to Infer User Attention and Provide Contextualized Support,”
Adaptive Instructional Systems. HCII 2020. Lecture Notes in Computer Science
, Vol.
12214
,
R.
Sottilare
, and
J.
Schwarz
, eds.,
Springer
,
Cham
.
86.
Zhukovskiy
,
Y. L.
, and
Koteleva
,
N. I.
,
2019
, “
Electrical Equipment Maintenance System With Elements of Augmented Reality Technology
,”
IOP Conference Series: Materials Science and Engineering
,
Saint Petersburg, Russian Federation
,
May 23–24
.
87.
Coscetti
,
S.
,
Moroni
,
D.
,
Pieri
,
G.
, and
Tampucci
,
M.
,
2019
, “
Augmented Reality for Tissue Converting Maintenance
,”
Proceedings—15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019
,
Sorrento, Italy
,
Nov. 26–29
, pp.
585
–
590
.
88.
Cachada
,
A.
,
Romero
,
L.
,
Costa
,
D.
,
Badikyan
,
H.
,
Barbosa
,
J.
,
Leitao
,
P.
,
Morais
,
O.
,
Teixeira
,
C.
,
Azevedo
,
J.
, and
Moreira
,
P. M.
,
2019
, “
Using AR Interfaces to Support Industrial Maintenance Procedures
,”
IECON Proceedings (Industrial Electronics Conference)
,
Lisbon, Portugal
,
Oct. 14–17
, pp.
3795
–
3800
.
89.
Sun
,
Y.
,
Kantareddy
,
S. N. R.
,
Siegel
,
J.
,
Armengol-Urpi
,
A.
,
Wu
,
X.
,
Wang
,
H.
, and
Sarma
,
S.
,
2019
, “
Towards Industrial IoT-AR Systems Using Deep Learning-Based Object Pose Estimation
,”
2019 IEEE 38th International Performance Computing and Communications Conference, IPCCC 2019
,
London, UK
,
Oct. 29–31
.
90.
Zhao
,
P.
,
Wu
,
H.
,
Shi
,
X.
,
Li
,
J.
,
Yi
,
X.
, and
Liu
,
S.
,
2019
, “
Research on Maintenance Guiding System Based on Augmented Reality
,”
Proceedings—2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019
,
Beijing, China
,
Aug. 15–17
, pp.
944
–
949
.
91.
Gao
,
L.
,
Gao
,
Z.
,
Wu
,
F.
,
Liu
,
S.
, and
Liu
,
L.
,
2019
, “
Research on Visual Monitoring and Auxiliary Maintenance Technology of Equipment Based on Augmented Reality
,”
Proceedings—2019 11th International Conference on Intelligent Human–Machine Systems and Cybernetics, IHMSC 2019
,
Hangzhou, China
,
Aug. 24–25
, pp.
93
–
97
.
92.
Siew
,
C. Y.
,
Nee
,
A. Y. C.
, and
Ong
,
S. K.
,
2019
, “
Improving Maintenance Efficiency With an Adaptive AR-Assisted Maintenance System
,”
ACM International Conference Proceeding Series
,
Guangzhou, China
,
July 26–28
, pp.
74
–
78
.
93.
Kuster
,
T.
,
Masuch
,
N.
,
Fahndrich
,
J.
,
Tschirner-Vinke
,
G.
,
Taschner
,
J.
,
Specker
,
M.
,
Iben
,
H.
, et al,
2019
, “
A Distributed Architecture for Modular and Dynamic Augmented Reality Processes
,”
IEEE International Conference on Industrial Informatics (INDIN)
,
Helsinki, Finland
,
July 22–25
, pp.
663
–
670
.
94.
Fullen
,
M.
,
Maier
,
A.
,
Nazarenko
,
A.
,
Aksu
,
V.
,
Jenderny
,
S.
, and
Rocker
,
C.
,
2019
, “
Machine Learning for Assistance Systems: Pattern-Based Approach to Online Step Recognition
,”
IEEE International Conference on Industrial Informatics (INDIN)
,
Helsinki, Finland
,
July 22–25
, pp.
296
–
302
.
95.
Prajapat
,
N.
,
Tiwari
,
A.
,
Tiwari
,
D.
,
Turner
,
C.
, and
Hutabarat
,
W.
,
2019
, “
A Framework for Next Generation Interactive and Immersive Des Models
,”
IEEE International Conference on Industrial Informatics (INDIN)
,
Helsinki, Finland
,
July 22–25
, pp.
671
–
676
.
96.
Zubizarreta
,
J.
,
Aguinaga
,
I.
, and
Amundarain
,
A.
,
2019
, “
A Framework for Augmented Reality Guidance in Industry
,”
Int. J. Adv. Manuf. Technol.
,
102
(
9–12
), pp.
4095
–
4108
.
97.
Kostolani
,
M.
,
Murin
,
J.
, and
Kozak
,
S.
,
2019
, “
Intelligent Predictive Maintenance Control Using Augmented Reality
,”
Proceedings of the 2019 22nd International Conference on Process Control, PC 2019
,
Strbske Pleso, Slovakia
,
June 11–14
, pp.
131
–
135
.
98.
Manuri
,
F.
,
Pizzigalli
,
A.
, and
Sanna
,
A.
,
2019
, “
A State Validation System for Augmented Reality Based Maintenance Procedures
,”
Appl. Sci.
,
9
(
10
), p.
2115
.
99.
Costal
,
C. M.
,
Veiga
,
G.
,
Sousa
,
A.
,
Rocha
,
L.
,
Sousa
,
A. A.
,
Rodrigues
,
R.
, and
Thomas
,
U.
,
2019
, “
Modeling of Video Projectors in OpenGL for Implementing a Spatial Augmented Reality Teaching System for Assembly Operations
,”
19th IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2019
,
Porto, Portugal
,
Apr. 24–26
.
100.
Tran
,
B.
, and
Sastry
,
S.
,
2019
, “
Mapping a Virtual View to the Physical World to Guide the Completion of Complex Task Sequences
,”
SysCon 2019–13th Annual IEEE International Systems Conference, Proceedings
,
Orlando, FL
,
Apr. 8–11
.
101.
Rajan
,
V.
,
Sobhana
,
N. V.
, and
Jayakrishnan
,
R.
,
2019
, “
Machine Fault Diagnostics and Condition Monitoring Using Augmented Reality and IoT
,”
Proceedings of the 2nd International Conference on Intelligent Computing and Control Systems, ICICCS 2018
,
Madurai, India
,
June 14–15
, pp.
910
–
914
.
102.
Dhiman
,
H.
, and
Rocker
,
C.
,
2019
, “
Worker Assistance in Smart Production Environments Using Pervasive Technologies
,”
2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019
,
Kyoto, Japan
,
Mar. 11–15
, pp.
95
–
100
.
103.
Liu
,
L.
,
Jiang
,
C.
,
Gao
,
Z.
, and
Wang
,
Y.
,
2019
, “Research on Real-Time Monitoring Technology of Equipment Based on Augmented Reality,”
Advanced Manufacturing and Automation VIII. IWAMA 2018. Lecture Notes in Electrical Engineering
, Vol.
484
,
K.
Wang
,
Y.
Wang
,
J.
Strandhagen
, and
T.
Yu
, eds.,
Springer
,
Singapore
.
104.
Aschenbrenner
,
D.
,
Leutert
,
F.
,
Çençen
,
A.
,
Verlinden
,
J.
,
Schilling
,
K.
,
Latoschik
,
M.
, and
Lukosch
,
S.
,
2019
, “
Comparing Human Factors for Augmented Reality Supported Single-User and Collaborative Repair Operations of Industrial Robots
,”
Front. Robot. AI
,
6
, pp.
1
–
17
.
105.
De Pace
,
F.
,
Manuri
,
F.
,
Sanna
,
A.
, and
Zappia
,
D.
,
2019
, “
A Comparison Between Two Different Approaches for a Collaborative Mixed-Virtual Environment in Industrial Maintenance
,”
Front. Robot. AI
,
6
, pp.
1
–
14
.
106.
Phillips
,
D.
,
Pooransingh
,
A.
, and
Guven
,
S.
,
2019
, “ORB-Based Multiple Fixed Resolution Approach for On-Board Visual Recognition,”
Artificial Intelligence and Mobile Services – AIMS 2019. AIMS 2019. Lecture Notes in Computer Science
, Vol.
11516
,
D.
Wang
, and
L. J.
Zhang
, eds.,
Springer
,
Cham
.
107.
Mohan
,
S.
,
Ramea
,
K.
,
Price
,
B.
,
Shreve
,
M.
,
Eldardiry
,
H.
, and
Nelson
,
L.
,
2019
, “
Building Jarvis—A Learner-Aware Conversational Trainer
,”
IUI Workshops’19
,
Los Angeles, CA
,
Mar. 20
.
108.
Hamidane
,
R.
,
Mouss
,
L. H.
,
Bellarbi
,
A.
, and
Mahdaoui
,
R.
,
2018
, “
Implementation of a Preventive Maintenance System Based on Augmented Reality
,”
Proceedings—PAIS 2018: International Conference on Pattern Analysis and Intelligent Systems
,
Tebessa, Algeria
,
Oct. 24–25
.
109.
Häkkilä
,
J.
,
Väyrynen
,
J.
,
Suoheimo
,
M.
, and
Colley
,
A.
,
2018
, “
Exploring Head Mounted Display Based Augmented Reality for Factory Workers
,”
ACM International Conference Proceeding Series
,
Cairo, Egypt
,
Nov. 25–28
, pp.
499
–
505
.
110.
Cachada
,
A.
,
Barbosa
,
J.
,
Leitão
,
P.
,
Geraldes
,
C. A. S.
,
Deusdado
,
L.
,
Costa
,
J.
,
Teixeira
,
C.
, et al,
2018
, “
Maintenance 4.0: Intelligent and Predictive Maintenance System Architecture
,”
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
,
Turin, Italy
,
Sept. 4–7
, pp.
139
–
146
.
111.
Kammerer
,
K.
,
Pryss
,
R.
,
Sommer
,
K.
, and
Reichert
,
M.
,
2018
, “
Towards Context-Aware Process Guidance in Cyber-Physical Systems With Augmented Reality
,”
Proceedings—2018 4th International Workshop on Requirements Engineering for Self-Adaptive, Collaborative, and Cyber Physical Systems, RESACS 2018
,
Banff, AB, Canada
,
Aug. 20
, pp.
44
–
51
.
112.
Zhou
,
B.
,
Guven
,
S.
,
Tao
,
S.
, and
Ye
,
F.
,
2018
, “
Poster: Pose-Assisted Active Visual Recognition in Mobile Augmented Reality
,”
Proceedings of the Annual International Conference on Mobile Computing and Networking
,
New Delhi, India
,
Oct. 29–Nov. 2
, pp.
756
–
758
.
113.
Aromaa
,
S.
,
Väätänen
,
A.
,
Kaasinen
,
E.
,
Uimonen
,
M.
, and
Siltanen
,
S.
,
2018
, “
Human Factors and Ergonomics Evaluation of a Tablet Based Augmented Reality System in Maintenance Work
,”
ACM International Conference Proceeding Series
,
Tampere, Finland
,
Oct. 10–11
, pp.
118
–
125
.
114.
Princle
,
A.
,
Campbell
,
A. G.
,
Hutka
,
S.
,
Torrasso
,
A.
,
Couper
,
C.
,
Strunden
,
F.
,
Bajana
,
J.
, et al,
2018
, “
Using an Industry-Ready AR HMD on a Real Maintenance Task: AR Benefits Performance on Certain Task Steps More Than Others
,”
Adjunct Proceedings—2018 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2018
,
Munich, Germany
,
Oct. 16–20
, pp.
236
–
241
.
115.
Huang
,
W.
,
Alem
,
L.
,
Tecchia
,
F.
, and
Duh
,
H. B.-L.
,
2018
, “
Augmented 3D Hands: A Gesture-Based Mixed Reality System for Distributed Collaboration
,”
J. Multimodal User Interfaces
,
12
(
2
), pp.
77
–
89
.
116.
Crivellaro
,
A.
,
Rad
,
M.
,
Verdie
,
Y.
,
Yi
,
K. M.
,
Fua
,
P.
, and
Lepetit
,
V.
,
2018
, “
Robust 3D Object Tracking From Monocular Images Using Stable Parts
,”
IEEE Trans. Pattern Anal. Mach. Intell.
,
40
(
6
), pp.
1465
–
1479
.
117.
Seitz
,
A.
,
Henze
,
D.
,
Nickles
,
J.
,
Sauer
,
M.
, and
Bruegge
,
B.
,
2018
, “
Augmenting the Industrial Internet of Things With Emojis
,”
2018 3rd International Conference on Fog and Mobile Edge Computing, FMEC 2018
,
Barcelona, Spain
,
Apr. 23–26
, pp.
240
–
245
.
118.
Vignali
,
G.
,
Bertolini
,
M.
,
Bottani
,
E.
,
Di Donato
,
L.
,
Ferraro
,
A.
, and
Longo
,
F.
,
2018
, “
Design and Testing of an Augmented Reality Solution to Enhance Operator Safety in the Food Industry
,”
Int. J. Food Eng.
,
14
(
2
), pp.
1
–
16
.
119.
Aromaa
,
S.
,
Väätänen
,
A.
,
Hakkarainen
,
M.
, and
Kaasinen
,
E.
,
2018
, “User Experience and User Acceptance of an Augmented Reality Based Knowledge-Sharing Solution in Industrial Maintenance Work,”
Advances in Usability and User Experience. AHFE 2017. Advances in Intelligent Systems and Computing
, Vol.
607
,
T.
Ahram
, and
C.
Falcão
, eds.,
Springer
,
Cham
.
120.
Neges
,
M.
,
Wolf
,
M.
, and
Abramovici
,
M.
,
2018
, “Enabling Round-Trip Engineering Between P&I Diagrams and Augmented Reality Work Instructions in Maintenance Processes Utilizing Graph-Based Modelling,”
Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017. ISPEM 2017. Advances in Intelligent Systems and Computing
, Vol.
637
,
A.
Burduk
, and
D.
Mazurkiewicz
, eds.,
Springer
,
Cham
.
121.
Leutert
,
F.
, and
Schilling
,
K.
,
2018
, “
Projector-Based Augmented Reality for Telemaintenance Support
,”
IFAC-PapersOnLine
,
51
(
11
), pp.
502
–
507
.
122.
Setti
,
A.
,
Bosetti
,
P.
, and
Ragni
,
M.
,
2018
, “ARTool—Augmented Reality Human–Machine Interface for Machining Setup and Maintenance,”
Intelligent Systems and Applications. IntelliSys 2016. Studies in Computational Intelligence
, Vol.
751
,
Y.
Bi
,
S.
Kapoor
, and
R.
Bhatia
, eds.,
Springer
,
Cham
.
123.
Rabah
,
S.
,
Assila
,
A.
,
Khouri
,
E.
,
Maier
,
F.
,
Ababsa
,
F.
,
Bourny
,
V.
,
Maier
,
P.
, and
Mérienne
,
F.
,
2018
, “
Towards Improving the Future of Manufacturing Through Digital Twin and Augmented Reality Technologies
,”
Procedia Manuf.
,
17
, pp.
460
–
467
.
124.
Mourtzis
,
D.
,
Angelopoulos
,
J.
, and
Boli
,
N.
,
2018
, “
Maintenance Assistance Application of Engineering to Order Manufacturing Equipment: A Product Service System (PSS) Approach
,”
IFAC-PapersOnLine
,
51
(
11
), pp.
217
–
222
.
125.
Heinz
,
M.
,
Dhiman
,
H.
, and
Röcker
,
C.
,
2018
, “A Multi-Device Assistive System for Industrial Maintenance Operations,”
Machine Learning and Knowledge Extraction. CD-MAKE 2018. Lecture Notes in Computer Science
, Vol.
11015
,
A.
Holzinger
,
P.
Kieseberg
,
A.
Tjoa
, and
E.
Weippl
, eds.,
Springer
,
Cham
.
126.
Mourtzis
,
D.
,
Vlachou
,
E.
, and
Zogopoulos
,
V.
,
2018
, “
Mobile Apps for Providing Product-Service Systems and Retrieving Feedback Throughout Their Lifecycle: A Robotics Use Case
,”
Int. J. Prod. Lifecycle Manage.
,
11
(
2
), pp.
116
–
130
.
127.
Vincent
,
H.
,
Benoit
,
J.
,
Xavier
,
S.
, and
David
,
B.
,
2017
, “
Inoovas—Industrial Ontology for Operation in Virtual and Augmented Scene: The Architecture
,”
2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
,
Barcelona, Spain
,
Apr. 5–7
, pp.
300
–
305
.
128.
Dvorak
,
P.
,
Josth
,
R.
, and
Delponte
,
E.
,
2017
, “
Object State Recognition for Automatic AR-Based Maintenance Guidance
,”
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
,
Honolulu, HI
,
July 21–26
, pp.
1244
–
1250
.
129.
Wolfartsberger
,
J.
,
Zenisek
,
J.
,
Silmbroth
,
M.
, and
Sievi
,
C.
,
2017
, “
Towards an Augmented Reality and Sensor-Based Assistive System for Assembly Tasks
,”
ACM International Conference Proceeding Series
,
Island of Rhodes, Greece
,
June 21–23
, pp.
230
–
231
.
130.
Mourtzis
,
D.
,
Vlachou
,
A.
, and
Zogopoulos
,
V.
,
2017
, “
Cloud-Based Augmented Reality Remote Maintenance Through Shop-Floor Monitoring: A Product-Service System Approach
,”
ASME J. Manuf. Sci. Eng. Trans.
,
139
(
6
), p.
061011
.
131.
Hao
,
Y.
, and
Helo
,
P.
,
2017
, “
The Role of Wearable Devices in Meeting the Needs of Cloud Manufacturing: A Case Study
,”
Robot. Comput. Integr. Manuf.
,
45
, pp.
168
–
179
.
132.
Kranzer
,
S.
,
Prill
,
D.
,
Aghajanpour
,
D.
,
Merz
,
R.
,
Strasser
,
R.
,
Mayr
,
R.
,
Zoerrer
,
H.
,
Plasch
,
M.
, and
Steringer
,
R.
,
2017
, “
An Intelligent Maintenance Planning Framework Prototype for Production Systems
,”
Proceedings of the IEEE International Conference on Industrial Technology
,
Toronto, ON, Canada
,
Mar. 22–25
, pp.
1124
–
1129
.
133.
Jayaweera
,
M.
,
Wijesooriya
,
I.
,
Wijewardana
,
D.
,
De Silva
,
T.
, and
Gamage
,
C.
,
2017
, “
Demo Abstract: Enhanced Real-Time Machine Inspection With Mobile Augmented Reality for Maintenance and Repair
,”
Proceedings—2017 IEEE/ACM 2nd International Conference on Internet-of-Things Design and Implementation, IoTDI 2017 (Part of CPS Week)
,
Pittsburgh, PA
,
Apr. 18–21
, pp.
287
–
288
.
134.
Matsuzoe
,
S.
,
Jiang
,
S.
,
Ueki
,
M.
, and
Okabayashi
,
K.
,
2017
, “
Intuitive Visualization Method for Locating Off-Screen Objects Inspired by Motion Perception in Peripheral Vision
,”
ACM International Conference Proceeding Series
,
San Francisco, CA
,
Mar. 16–18
.
135.
Lamberti
,
F.
,
Manuri
,
F.
,
Paravati
,
G.
,
Piumatti
,
G.
, and
Sanna
,
A.
,
2017
, “
Using Semantics to Automatically Generate Speech Interfaces for Wearable Virtual and Augmented Reality Applications
,”
IEEE Trans. Hum.–Mach. Syst.
,
47
(
1
), pp.
152
–
164
.
136.
Perla
,
R.
,
Gupta
,
G.
,
Hebbalaguppe
,
R.
, and
Hassan
,
E.
,
2017
, “
InspectAR: An Augmented Reality Inspection Framework for Industry
,”
Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016
,
Merida, Mexico
,
Sept. 19–23
, pp.
355
–
356
.
137.
Yew
,
A. W. W.
,
Ong
,
S. K.
, and
Nee
,
A. Y. C.
,
2017
, “
Immersive Augmented Reality Environment for the Teleoperation of Maintenance Robots
,”
Procedia CIRP
,
61
, pp.
305
–
310
.
138.
Abramovici
,
M.
,
Wolf
,
M.
,
Adwernat
,
S.
, and
Neges
,
M.
,
2017
, “
Context-Aware Maintenance Support for Augmented Reality Assistance and Synchronous Multi-User Collaboration
,”
Procedia CIRP
,
59
, pp.
18
–
22
.
139.
Mourtzis
,
D.
,
Vlachou
,
E.
,
Zogopoulos
,
V.
, and
Fotini
,
X.
,
2017
, “Integrated Production and Maintenance Scheduling Through Machine Monitoring and Augmented Reality: An Industry 4.0 Approach,”
Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing. APMS 2017. IFIP Advances in Information and Communication Technology
, Vol.
513
,
H.
Lödding
,
R.
Riedel
,
KD.
Thoben
,
G.
von Cieminski
, and
D.
Kiritsis
, eds.,
Springer
,
Cham
.
140.
Deac
,
C. N.
,
Deac
,
G. C.
,
Popa
,
C. L.
,
Ghinea
,
M.
, and
Cotet
,
C. E.
,
2017
, “
Using Augmented Reality in Smart Manufacturing
,”
Annals of DAAAM and Proceedings of the International DAAAM Symposium
,
Zadar, Croatia
,
Nov. 8–11
, pp.
727
–
732
.
141.
Hiraoka
,
H.
,
Nagasawa
,
A.
,
Fukumashi
,
Y.
, and
Fukunaga
,
Y.
,
2017
, “
Replacement of Parts by Part Agents to Promote Reuse of Mechanical Parts
,”
14th IFIP International Conference on Product Lifecycle Management (PLM)
,
Seville, Spain
,
July
.
Copyright © 2022 by ASME
You do not currently have access to this content.