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TU Berlin

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Holo Pick'n'Place
Zitatschlüssel rudorfer-2018-etfa-holoPickNPlace
Autor Martin Rudorfer and Jan Guhl and Paul Hoffmann and Jörg Krüger
Buchtitel 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)
Seiten 1219-1222
Jahr 2018
ISSN 1946-0759
DOI 10.1109/ETFA.2018.8502527
Jahrgang 1
Monat Sept
Zusammenfassung 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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