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.
| 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 |
