Modular Robot Software Framework for the Intelligent and Flexible Composition of Its Skills

Heuss L, Blank A, Dengler S, Zikeli GL, Reinhart G, Franke J (2019)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2019

Publisher: Springer International Publishing

City/Town: Cham

Pages Range: 248-256

Conference Proceedings Title: Advances in Production Management Systems. Production Management for the Factory of the Future

Event location: Austin, Texas US

ISBN: 978-3-030-30000-5

DOI: 10.1007/978-3-030-30000-5_32

Abstract

Current trends such as mass customization necessitate an agile and transformable production. In this context, robotic technologies are seen as a key enabler. But, to date, industrial robots lack the flexibility to easily adapt to changing needs. Therefore, a modular skill-based software framework aiming for free configurability is presented here. A generic task control allows varying incoming tasks to be processed, based on the actual skills of the robot. In this way, the flexible composition of a robot’s skills can be achieved, according to the actual situation.

Authors with CRIS profile

Andreas Blank Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik Jörg Franke Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik

Involved external institutions

Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Heuss, L., Blank, A., Dengler, S., Zikeli, G.L., Reinhart, G., & Franke, J. (2019). Modular Robot Software Framework for the Intelligent and Flexible Composition of Its Skills. In Ameri, Farhad; Stecke, Kathryn E.; Cieminski, Gregor von; Kiritsis, Dimitris (Eds.), Advances in Production Management Systems. Production Management for the Factory of the Future (pp. 248-256). Austin, Texas, US: Cham: Springer International Publishing.

MLA:

Heuss, Lisa, et al. "Modular Robot Software Framework for the Intelligent and Flexible Composition of Its Skills." Proceedings of the Advances in Production Management Systems (APMS), Austin, Texas Ed. Ameri, Farhad; Stecke, Kathryn E.; Cieminski, Gregor von; Kiritsis, Dimitris, Cham: Springer International Publishing, 2019. 248-256.

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