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Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning

Crossref DOI link: https://doi.org/10.1007/s10845-021-01863-3

Published Online: 2022-01-08

Published Print: 2022-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wurster, Marco http://orcid.org/0000-0001-8145-1257
Michel, Marius

May, Marvin Carl

Kuhnle, Andreas

Stricker, Nicole

Lanza, Gisela
Funding

Funding for this research was provided by:

Carl-Zeiss-Stiftung (Carl-Zeiss-Stiftung)

Karlsruher Institut für Technologie (KIT)
License Information

Text and Data Mining valid from 2022-01-08

Version of Record valid from 2022-01-08
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Article History

Received: 21 February 2021

Accepted: 11 October 2021

First Online: 8 January 2022

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