Holdings: Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus

Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus: Proceedings of FAIM 2022, June 19–23, 2022, Detroit, Michigan, USA, Volume 2

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Bibliographic Details
Other Authors:	Kim, Kyoung-Yun (Editor), Monplaisir, Leslie (Editor), Rickli, Jeremy (Editor)
Format:	Electronic eBook
Language:	English
Published:	Cham Springer International Publishing 2023 Cham Springer
Edition:	1st ed. 2023
Series:	Lecture Notes in Mechanical Engineering
Subjects:	Process Engineering Industrial Automation Robotic Engineering Computer-Aided Engineering (CAD, CAE) and Design User Interfaces and Human Computer Interaction Production engineering Industrial engineering Automation Robotics Computer-aided engineering User interfaces (Computer systems) Human-computer interaction
Online Access:	BTU01 FAB01 FAW01 FCO01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 TUM01 UBY01 UER01 Volltext
Physical Description:	1 Online-Ressource (XXI, 771 p. 328 illus., 270 illus. in color)
ISBN:	9783031176296
ISSN:	2195-4364
DOI:	10.1007/978-3-031-17629-6

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series2	Lecture Notes in Mechanical Engineering
spellingShingle	Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus Proceedings of FAIM 2022, June 19–23, 2022, Detroit, Michigan, USA, Volume 2 Process Engineering Industrial Automation Robotic Engineering Computer-Aided Engineering (CAD, CAE) and Design User Interfaces and Human Computer Interaction Production engineering Industrial engineering Automation Robotics Computer-aided engineering User interfaces (Computer systems) Human-computer interaction
title	Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus Proceedings of FAIM 2022, June 19–23, 2022, Detroit, Michigan, USA, Volume 2
title_auth	Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus Proceedings of FAIM 2022, June 19–23, 2022, Detroit, Michigan, USA, Volume 2
title_exact_search	Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus Proceedings of FAIM 2022, June 19–23, 2022, Detroit, Michigan, USA, Volume 2
title_exact_search_txtP	Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus Proceedings of FAIM 2022, June 19–23, 2022, Detroit, Michigan, USA, Volume 2
title_full	Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus Proceedings of FAIM 2022, June 19–23, 2022, Detroit, Michigan, USA, Volume 2 edited by Kyoung-Yun Kim, Leslie Monplaisir, Jeremy Rickli
title_fullStr	Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus Proceedings of FAIM 2022, June 19–23, 2022, Detroit, Michigan, USA, Volume 2 edited by Kyoung-Yun Kim, Leslie Monplaisir, Jeremy Rickli
title_full_unstemmed	Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus Proceedings of FAIM 2022, June 19–23, 2022, Detroit, Michigan, USA, Volume 2 edited by Kyoung-Yun Kim, Leslie Monplaisir, Jeremy Rickli
title_short	Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus
title_sort	flexible automation and intelligent manufacturing the human data technology nexus proceedings of faim 2022 june 19 23 2022 detroit michigan usa volume 2
title_sub	Proceedings of FAIM 2022, June 19–23, 2022, Detroit, Michigan, USA, Volume 2
topic	Process Engineering Industrial Automation Robotic Engineering Computer-Aided Engineering (CAD, CAE) and Design User Interfaces and Human Computer Interaction Production engineering Industrial engineering Automation Robotics Computer-aided engineering User interfaces (Computer systems) Human-computer interaction
topic_facet	Process Engineering Industrial Automation Robotic Engineering Computer-Aided Engineering (CAD, CAE) and Design User Interfaces and Human Computer Interaction Production engineering Industrial engineering Automation Robotics Computer-aided engineering User interfaces (Computer systems) Human-computer interaction
url	https://doi.org/10.1007/978-3-031-17629-6
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