Holo Pick'n'Place

Martin Rudorfer; Jan Guhl; Paul Hoffmann; Jorg Kruger

doi:10.1109/ETFA.2018.8502527

Holo Pick'n'Place

Martin Rudorfer^*, Jan Guhl, Paul Hoffmann, Jorg Kruger

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Conference publication

15 Citations (SciVal)

Abstract

In this paper we contribute to the research on facilitating industrial robot programming by presenting a concept for intuitive drag and drop like programming of pick and place tasks with Augmented Reality (AR). We propose a service-oriented architecture to achieve easy exchangeability of components and scalability with respect to AR devices and robot workplaces. Our implementation uses a HoloLens and a UR5 robot, which are integrated into a framework of RESTful web services. The user can drag recognized objects and drop them at a desired position to initiate a pick and place task. Although the positioning accuracy is unsatisfactory yet, our implemented prototype achieves most of the desired advantages to proof the concept.

Original language	English
Title of host publication	Proceedings - 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation, ETFA 2018
Publisher	IEEE
Pages	1219-1222
Number of pages	4
ISBN (Electronic)	9781538671085
DOIs	https://doi.org/10.1109/ETFA.2018.8502527
Publication status	Published - 22 Oct 2018
Event	23rd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2018 - Torino, Italy Duration: 4 Sept 2018 → 7 Sept 2018

Publication series

Name	IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Volume	2018-September
ISSN (Print)	1946-0740
ISSN (Electronic)	1946-0759

Conference

Conference	23rd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2018
Country/Territory	Italy
City	Torino
Period	4/09/18 → 7/09/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

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10.1109/ETFA.2018.8502527

Cite this

Rudorfer, M., Guhl, J., Hoffmann, P., & Kruger, J. (2018). Holo Pick'n'Place. In Proceedings - 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation, ETFA 2018 (pp. 1219-1222). Article 8502527 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA; Vol. 2018-September). IEEE. https://doi.org/10.1109/ETFA.2018.8502527

@inproceedings{995119668fa8469a9b4d1ba0dd269f8c,

title = "Holo Pick'n'Place",

abstract = "In this paper we contribute to the research on facilitating industrial robot programming by presenting a concept for intuitive drag and drop like programming of pick and place tasks with Augmented Reality (AR). We propose a service-oriented architecture to achieve easy exchangeability of components and scalability with respect to AR devices and robot workplaces. Our implementation uses a HoloLens and a UR5 robot, which are integrated into a framework of RESTful web services. The user can drag recognized objects and drop them at a desired position to initiate a pick and place task. Although the positioning accuracy is unsatisfactory yet, our implemented prototype achieves most of the desired advantages to proof the concept.",

author = "Martin Rudorfer and Jan Guhl and Paul Hoffmann and Jorg Kruger",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 23rd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2018 ; Conference date: 04-09-2018 Through 07-09-2018",

year = "2018",

month = oct,

day = "22",

doi = "10.1109/ETFA.2018.8502527",

language = "English",

series = "IEEE International Conference on Emerging Technologies and Factory Automation, ETFA",

publisher = "IEEE",

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booktitle = "Proceedings - 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation, ETFA 2018",

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}

Rudorfer, M, Guhl, J, Hoffmann, P & Kruger, J 2018, Holo Pick'n'Place. in Proceedings - 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation, ETFA 2018., 8502527, IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, vol. 2018-September, IEEE, pp. 1219-1222, 23rd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2018, Torino, Italy, 4/09/18. https://doi.org/10.1109/ETFA.2018.8502527

Holo Pick'n'Place. / Rudorfer, Martin; Guhl, Jan; Hoffmann, Paul et al.
Proceedings - 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation, ETFA 2018. IEEE, 2018. p. 1219-1222 8502527 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA; Vol. 2018-September).

Research output: Chapter in Book/Published conference output › Conference publication

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T1 - Holo Pick'n'Place

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AU - Guhl, Jan

AU - Hoffmann, Paul

AU - Kruger, Jorg

PY - 2018/10/22

Y1 - 2018/10/22

N2 - In this paper we contribute to the research on facilitating industrial robot programming by presenting a concept for intuitive drag and drop like programming of pick and place tasks with Augmented Reality (AR). We propose a service-oriented architecture to achieve easy exchangeability of components and scalability with respect to AR devices and robot workplaces. Our implementation uses a HoloLens and a UR5 robot, which are integrated into a framework of RESTful web services. The user can drag recognized objects and drop them at a desired position to initiate a pick and place task. Although the positioning accuracy is unsatisfactory yet, our implemented prototype achieves most of the desired advantages to proof the concept.

AB - In this paper we contribute to the research on facilitating industrial robot programming by presenting a concept for intuitive drag and drop like programming of pick and place tasks with Augmented Reality (AR). We propose a service-oriented architecture to achieve easy exchangeability of components and scalability with respect to AR devices and robot workplaces. Our implementation uses a HoloLens and a UR5 robot, which are integrated into a framework of RESTful web services. The user can drag recognized objects and drop them at a desired position to initiate a pick and place task. Although the positioning accuracy is unsatisfactory yet, our implemented prototype achieves most of the desired advantages to proof the concept.

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M3 - Conference publication

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T2 - 23rd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2018

Y2 - 4 September 2018 through 7 September 2018

ER -

Holo Pick'n'Place

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