@inproceedings{41147c7d165a417fa64a7a79dbaf2da7,
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",
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 = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "1219--1222",
booktitle = "Proceedings - 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation, ETFA 2018",
note = "23rd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2018 ; Conference date: 04-09-2018 Through 07-09-2018",
}