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Holo Pick'n'Place
Citation key rudorfer-2018-etfa-holoPickNPlace
Author Martin Rudorfer and Jan Guhl and Paul Hoffmann and Jörg Krüger
Title of Book 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)
Pages 1219–1222
Year 2018
ISSN 1946-0759
DOI 10.1109/ETFA.2018.8502527
Volume 1
Month Sept
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.
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