Self-learning Processes in Smart Factories:Deep Reinforcement Learning for Process Control of Robot Brine Injection

Autor: Andersen, Rasmus Eckholdt, Madsen, Steffen, Barlo, Alexander Bendix Krukow, Blegebrønd Johansen, Sebastian, Nør, Morten, Andersen, Rasmus Skovgaard, Bøgh, Simon

Publikováno v: Andersen, R E, Madsen, S, Barlo, A B K, Blegebrønd Johansen, S, Nør, M, Andersen, R S & Bøgh, S 2019, Self-learning Processes in Smart Factories : Deep Reinforcement Learning for Process Control of Robot Brine Injection . in 29th International Conference on Flexible Automation and Intelligent Manufacturing : FAIM 2019 . vol. 38, Elsevier, Procedia Manufacturing, pp. 171-177, 29th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2019), Limerick, Ireland, 24/06/2019 . https://doi.org/10.1016/j.promfg.2020.01.023

The goal of this paper is to investigate the application of adaptive learning algorithms, which enables industrial robots to cope with natural variations exhibited in a brine injection process related to the production of bacon. Due to the variations

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https://vbn.aau.dk/ws/files/331260683/_2019_Self_learning_Processes_in_Smart_Factories_Deep_Reinforcement_Learning_for_Process_Control_of_Robot_PREPRINT.pdf