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Towards planning and control in cognitive factories - A generic model including learning effects and knowledge transfer across system entities

Wurster, Marco; Exner, Yannick; Kaiser, Jan-Philipp; Stricker, Nicole; Lanza, Gisela

Cognitive abilities allow robots to learn and reason from their environment. The gained knowledge can then be incorporated into the robot’s actions which in turn affect the environment. Therefore, a cognitive robot is no longer a static system that performs actions based on a pre-defined set of rules but a complex entity that dynamically adjusts over time. With this, challenges arise for production systems that need to observe and ideally anticipate the cognitive robot’s behavior. Often, digital twins are employed to test and optimize production control systems. This paper presents a generic approach to characterize, model and simulate learning processes and formalized knowledge in hybrid production systems assuming different station types with learning effects. Thereby, quantitative and qualitative learning processes are mapped including knowledge sharing and transfer across entities. A modular and parameterizable design enables the adjustment to different use cases. Eventually, the model is instantiated as a digital twin of a real production system for product disassembly employing cognitive-autonomous robots among human operators and rigidly automated machines. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000140339
Veröffentlicht am 25.11.2021
DOI: 10.1016/j.procir.2021.10.025
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Produktionstechnik (WBK)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2212-8271
KITopen-ID: 1000140339
Erschienen in 9th CIRP Global Web Conference – Sustainable, resilient, and agile manufacturing and service operations : Lessons from COVID-19. Ed.: K. Medini
Veranstaltung 9th CIRP Global Web Conference (CIRPe 2021), Online, 26.10.2021 – 28.10.2021
Verlag Elsevier
Seiten 158-163
Serie Procedia CIRP ; 103
Schlagwörter Learning Effects; Cognitive Robots; Digital Twin; Hybrid Production Systems; Disassembly
Nachgewiesen in Scopus
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