Holo Pick'n'Place

Autor: Paul Hoffmann, Jörg Krüger, Jan Guhl, Martin Rudorfer
Rok vydání: 2018
Předmět:
Zdroj: ETFA
DOI: 10.1109/etfa.2018.8502527
Popis: 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.
Databáze: OpenAIRE