A framework for simulation-based optimization demonstrated on reconfigurable robot workcells

Linus Atorf, Christoph Schorn, Jürgen Roßmann, Christian Schlette

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Resumé

Today's trends towards automation and robotics, fueled by the emerging Industry 4.0 paradigm shift, open up many new kinds of control and optimization problems. At the same time, advances in 3D simulation technology lead to ever-improving simulation models and algorithms in various domains, such as multi-body dynamics, kinematics, or sensor simulation. This development can be harnessed for Simulation- based Optimization (SBO), where optimization results can be directly transferred from simulation models to the real world. In this paper, we introduce a formalism and modular framework for model configuration and SBO. We demonstrate the capabilities of our framework by optimizing the sensor layout within a reconfigurable robot workcell from the H2020 project ReconCell, allowing engineers to experiment with different optimizers and parameters. Evaluation of the results proves the usefulness of our approach and shows that the framework can be applied to a wide range of optimization problems without constraining the choice of simulation environment.
OriginalsprogEngelsk
TitelProceedings of the 2017 IEEE International Systems Engineering Symposium
Antal sider6
ForlagIEEE
Publikationsdato2017
ISBN (Trykt)978-1-5386-3404-2
ISBN (Elektronisk)978-1-5386-3403-5
DOI
StatusUdgivet - 2017
Begivenhed2017 IEEE International Systems Engineering Symposium - Vienna, Østrig
Varighed: 11. okt. 201713. okt. 2017

Konference

Konference2017 IEEE International Systems Engineering Symposium
LandØstrig
ByVienna
Periode11/10/201713/10/2017

Fingeraftryk

Robots
Sensors
Kinematics
Robotics
Automation
Engineers
Industry
Experiments

Citer dette

Atorf, L., Schorn, C., Roßmann, J., & Schlette, C. (2017). A framework for simulation-based optimization demonstrated on reconfigurable robot workcells. I Proceedings of the 2017 IEEE International Systems Engineering Symposium IEEE. https://doi.org/10.1109/SysEng.2017.8088278
Atorf, Linus ; Schorn, Christoph ; Roßmann, Jürgen ; Schlette, Christian. / A framework for simulation-based optimization demonstrated on reconfigurable robot workcells. Proceedings of the 2017 IEEE International Systems Engineering Symposium . IEEE, 2017.
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title = "A framework for simulation-based optimization demonstrated on reconfigurable robot workcells",
abstract = "Today's trends towards automation and robotics, fueled by the emerging Industry 4.0 paradigm shift, open up many new kinds of control and optimization problems. At the same time, advances in 3D simulation technology lead to ever-improving simulation models and algorithms in various domains, such as multi-body dynamics, kinematics, or sensor simulation. This development can be harnessed for Simulation- based Optimization (SBO), where optimization results can be directly transferred from simulation models to the real world. In this paper, we introduce a formalism and modular framework for model configuration and SBO. We demonstrate the capabilities of our framework by optimizing the sensor layout within a reconfigurable robot workcell from the H2020 project ReconCell, allowing engineers to experiment with different optimizers and parameters. Evaluation of the results proves the usefulness of our approach and shows that the framework can be applied to a wide range of optimization problems without constraining the choice of simulation environment.",
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Atorf, L, Schorn, C, Roßmann, J & Schlette, C 2017, A framework for simulation-based optimization demonstrated on reconfigurable robot workcells. i Proceedings of the 2017 IEEE International Systems Engineering Symposium . IEEE, 2017 IEEE International Systems Engineering Symposium, Vienna, Østrig, 11/10/2017. https://doi.org/10.1109/SysEng.2017.8088278

A framework for simulation-based optimization demonstrated on reconfigurable robot workcells. / Atorf, Linus; Schorn, Christoph; Roßmann, Jürgen ; Schlette, Christian.

Proceedings of the 2017 IEEE International Systems Engineering Symposium . IEEE, 2017.

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

TY - GEN

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Atorf L, Schorn C, Roßmann J, Schlette C. A framework for simulation-based optimization demonstrated on reconfigurable robot workcells. I Proceedings of the 2017 IEEE International Systems Engineering Symposium . IEEE. 2017 https://doi.org/10.1109/SysEng.2017.8088278