Framework for automated program generation of HRC applications

  • The main idea of this paper is to present a framework for an easy and intuitive program generation for human-robot collaboration implementations. This framework consists of three key ideas, which make up the three main sections. The first section is about automated task allocation with focus on economics. The second part is about intuitive robotic teaching with an offline motion capture (MoCap) tool and the third section features an automated program generation of the paths and the human-robot collaborative aspects of the application. With this framework, we provide a method to program human-robot collaborative (HRC) applications for future industry purposes.

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Author:Fabian MüllerORCiD, Christian Deuerlein, Daniel Rücker, Michael KochORCiD, Peter Hess, Alexander Hasse
URL / DOI:https://ieeexplore.ieee.org/document/8470631
ISBN:978-3-8007-4699-6
Document Type:conference proceeding (article)
Language:English
Date of first Publication:2018/06/20
Reviewed:Begutachtet/Reviewed
Release Date:2024/08/26
Tag:automated programing; human-robot collaboration; motion capture; task allocation
Volume:2018
First Page:435
Last Page:441
Konferenzangabe:ISR 2018; 50th International Symposium on Robotics
Konferenzangabe:ISR 2018, June 20 – 21, 2018, Munich, Germany
institutes:Institut für Chemie, Material- und Produktentwicklung
Research Themes:Materialien & Produktionstechnik
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