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2018
Conference Paper
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(s)
Rudorfer, M.
Guhl, J.
Hoffmann, P.
Krüger, J.
Mainwork
IEEE 23rd International Conference on Emerging Technologies and Factory Automation, ETFA 2018. Proceedings  
Conference
International Conference on Emerging Technologies and Factory Automation (ETFA) 2018  
DOI
10.1109/ETFA.2018.8502527
Language
English
Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK  
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