Abstract
Intelligent manufacturing systems are based on seamless and flexible interaction in Cyber-Physical-Systems of Systems. Novel research approaches in computer science allow to bring intelligence to the shop floor in general and robotic systems in particular. New concepts are needed to support the worker in their interactions with the intelligent machines.
In the research center \(\mathit{Pro}^{2}\mathit{Future}\) cognitive approaches to manufacturing are researched in order to advance the flexibility and capabilities of human and artificial agents on the shop floor.
The results achieved so far provide new ways of human-robot interaction, support seamless reconfiguration of robotic systems and provide decision support for gaining insights in flexible production systems.
Several preliminary project results of the research center \(\mathit{Pro}^{2}\mathit{Future}\), with special attention to robotic systems, are presented in this paper.
Zusammenfassung
Moderne und intelligente Produktionssysteme basieren auf nahtloser und flexibler Interaktion von physischen und virtuellen Systemen; Interoperabilität ist eine Notwendigkeit. Neue Forschungsansätze bringen Intelligenz in die Produktion im Allgemeinen und in robotische Systeme im Speziellen. In der Forschung werden intelligente Maschinen und die notwendigen Kommunikationsmittel und -wege zwischen diesen untersucht.
In Projekten des Forschungszentrums \(\mathit{Pro}^{2}\mathit{Future}\) werden kognitive Ansätze in der Produktion untersucht. Ziel ist die Erhöhung von Flexibilität und die Erweiterung der Fähigkeiten der Mitarbeiterinnen, Mitarbeiter und der Maschinen, Roboter.
Erste Forschungsergebnisse zeigen neue Ansätze und Möglichkeiten in der Mensch-Roboter-Kommunikation, bei der nahtlosen Rekonfiguration von robotischen Systemen, und erlauben detailierte, statistische Einblicke in flexible Produktionssysteme.
In diesem Artikel werden mehrere Projektergebnisse aus dem Forschungszentrum \(\mathit{Pro}^{2}\mathit{Future}\) vorgestellt. Ein Fokus wird hier auf Projekte mit Relevanz zu robotischen Systemen gelegt.
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Notes
http://wko.at/statistik/jahrbuch/2017_Deutsch.pdf [Accessed 2019 Aug. 2].
http://www.pro2future.at [Accessed 2019 Aug. 2].
https://www.profactor.at/open-labs/cognitive-factory-lab/ [Accessed 2019 Aug. 2].
http://www.profactor.at/wp-content/uploads/2016/07/XRob_Folder_final_web.pdf [Accessed 2019 Aug. 2].
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Acknowledgements
This work has been supported by \(\mathit{Pro}^{2}\mathit{Future}\) (FFG under contract No. 854184). \(\mathit{Pro}^{2}\mathit{Future}\) is funded within the Austrian COMET Program – Competence Centers for Excellent Technologies – under the auspices of the Austrian Federal Ministry of Transport, Innovation and Technology, the Austrian Federal Ministry for Digital and Economic Affairs and of the Provinces of Upper Austria and Styria. COMET is managed by the Austrian Research Promotion Agency FFG.
It has also received support by the European Union and the State of Upper Austria within the strategic program Innovative Upper Austria 2020, project: “Smart Factory Lab”.
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Weichhart, G., Ferscha, A., Mutlu, B. et al. Human/machine/roboter: technologies for cognitive processes. Elektrotech. Inftech. 136, 313–317 (2019). https://doi.org/10.1007/s00502-019-00740-5
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DOI: https://doi.org/10.1007/s00502-019-00740-5
Keywords
- collaborative robotics
- cognitive production
- flexible production systems
- cyber physical system
- system-of-systems