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Conference papers

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

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.
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Submitted on : Thursday, December 19, 2019 - 1:17:58 PM
Last modification on : Thursday, January 6, 2022 - 11:38:05 AM
Long-term archiving on: : Friday, March 20, 2020 - 7:20:05 PM


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Lisa Heuss, Andreas Blank, Sebastian Dengler, Georg Lukas Zikeli, Gunther Reinhart, et al.. Modular Robot Software Framework for the Intelligent and Flexible Composition of Its Skills. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2019, Austin, TX, United States. pp.248-256, ⟨10.1007/978-3-030-30000-5_32⟩. ⟨hal-02419268⟩



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