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dc.contributor.authorRupenyan, Alisa-
dc.contributor.authorBalta, Efe C.-
dc.date.accessioned2024-01-04T13:11:36Z-
dc.date.available2024-01-04T13:11:36Z-
dc.date.issued2023-12-
dc.identifier.isbn978-1-119-98361-3de_CH
dc.identifier.isbn978-1-119-98363-7de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/29470-
dc.description.abstractManufacturing automation is vital to various industrial sectors: aeronatic, automotive, biomedical, consumer goods, and others. Two main trends influence the develepment in manufacturing automation: the large availability of data, reflecting the environment and the manufacturing process, and the emergence of robotics-based systems, and in general, robotics as a framework for autonomous systems. Both trends impose the integration of more powerful and adaptive control and optimization approaches, enabling new functionality and new business models. This new generation of controllers unifies data-driven, predictive, and learning-based methods making use of the available data, and of the increased computation possibilities due to cloud connectivity and access to better hardware in general. Availability of data and computation capabilities aligns in the concept of digital twin, a living virtual replica of the industrial system, which enables flexible and economically viable approaches to monitoring, predictive maintenance, and individualized production, and more efficient means to control the manufacturing systems.de_CH
dc.language.isoende_CH
dc.publisherWileyde_CH
dc.relation.ispartofThe impact of automatic control research on industrial innovation : enabling a sustainable futurede_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectAutomationde_CH
dc.subjectManufacturingde_CH
dc.subjectRoboticsde_CH
dc.subjectMotion systemde_CH
dc.subject.ddc670: Industrielle und handwerkliche Fertigungde_CH
dc.titleRobotics and manufacturing automationde_CH
dc.typeBuchbeitragde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitCentre for Artificial Intelligence (CAI)de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end189de_CH
zhaw.pages.start169de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewEditorial reviewde_CH
zhaw.webfeedIndustrial Artificial Intelligencede_CH
zhaw.webfeedIndustrie 4.0de_CH
zhaw.webfeedZHAW digitalde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

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Rupenyan, A., & Balta, E. C. (2023). Robotics and manufacturing automation. In The impact of automatic control research on industrial innovation : enabling a sustainable future (pp. 169–189). Wiley.
Rupenyan, A. and Balta, E.C. (2023) ‘Robotics and manufacturing automation’, in The impact of automatic control research on industrial innovation : enabling a sustainable future. Wiley, pp. 169–189.
A. Rupenyan and E. C. Balta, “Robotics and manufacturing automation,” in The impact of automatic control research on industrial innovation : enabling a sustainable future, Wiley, 2023, pp. 169–189.
RUPENYAN, Alisa und Efe C. BALTA, 2023. Robotics and manufacturing automation. In: The impact of automatic control research on industrial innovation : enabling a sustainable future. Wiley. S. 169–189. ISBN 978-1-119-98361-3
Rupenyan, Alisa, and Efe C. Balta. 2023. “Robotics and Manufacturing Automation.” In The Impact of Automatic Control Research on Industrial Innovation : Enabling a Sustainable Future, 169–89. Wiley.
Rupenyan, Alisa, and Efe C. Balta. “Robotics and Manufacturing Automation.” The Impact of Automatic Control Research on Industrial Innovation : Enabling a Sustainable Future, Wiley, 2023, pp. 169–89.


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