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Authors: Roland Glück 1 ; Alwin Hoffmann 2 ; Ludwig Nägele 2 ; Andreas Schierl 2 ; Wolfgang Reif 2 and Heinz Voggenreiter 1

Affiliations: 1 German Aerospace Center, Institute of Structures and Design, Center for Lightweight Production Technology (ZLP), 86159 Augsburg and Germany ; 2 Institute for Software & Systems Engineering, University of Augsburg, 86159 Augsburg and Germany

Keyword(s): Software Methodology, Cooperating Robots, Cyber-Physical Production System, Task Planning, Optimization.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computer-Based Manufacturing Technologies ; Formal Methods ; Industrial Automation and Robotics ; Industrial Engineering ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Planning and Scheduling ; Production Planning, Scheduling and Control ; Simulation and Modeling ; Symbolic Systems

Abstract: Considering initiatives like Industry 4.0 or the Industrial Internet of Things, robots will play an important role in intelligent factories, producing highly customized products with high variability and in small lot sizes. In this setting, complexity of planning and programming such robotic applications grows due to the drastic increase in flexibility, performance and robustness required. In this paper, we propose a tool-supported methodology for the development of control software for dynamically forming multi-functional robot teams. The main challenges for achieving this overall goal are modeling of robot team skills, techniques for automatically deriving process steps from the products’ construction plans, finding allocations of those steps to possible robot teams with compatible skills and calculating collision-free execution schedules with a high degree of parallelization to improve cycle times. The proposed approach integrates process experts and automation experts on all leve ls. Two case studies will serve as test beds to the developed approach: production of carbon-fiber reinforced polymers and assembly of furniture. (More)

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Paper citation in several formats:
Glück, R.; Hoffmann, A.; Nägele, L.; Schierl, A.; Reif, W. and Voggenreiter, H. (2018). Towards a Tool-based Methodology for Developing Software for Dynamic Robot Teams. In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-321-6; ISSN 2184-2809, SciTePress, pages 605-612. DOI: 10.5220/0006884806050612

@conference{icinco18,
author={Roland Glück. and Alwin Hoffmann. and Ludwig Nägele. and Andreas Schierl. and Wolfgang Reif. and Heinz Voggenreiter.},
title={Towards a Tool-based Methodology for Developing Software for Dynamic Robot Teams},
booktitle={Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2018},
pages={605-612},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006884806050612},
isbn={978-989-758-321-6},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Towards a Tool-based Methodology for Developing Software for Dynamic Robot Teams
SN - 978-989-758-321-6
IS - 2184-2809
AU - Glück, R.
AU - Hoffmann, A.
AU - Nägele, L.
AU - Schierl, A.
AU - Reif, W.
AU - Voggenreiter, H.
PY - 2018
SP - 605
EP - 612
DO - 10.5220/0006884806050612
PB - SciTePress