國立虎尾科技大學 |

Human-centric smart manufacturing towards Industry 5.0

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Human-centric smart manufacturing towards Industry 5.0/ edited by Baicun Wang ... [et al.].
其他作者:	Wang, Baicun.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xviii, 369 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Robotics. -
電子資源:	https://doi.org/10.1007/978-3-031-82170-7
ISBN:	9783031821707

Human-centric smart manufacturing towards Industry 5.0
Human-centric smart manufacturing towards Industry 5.0[electronic resource] /edited by Baicun Wang ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xviii, 369 p. :ill. (chiefly color), digital ;24 cm.

HSM Perspectives -- Human centric Smart Manufacturing and Interoperability towards the Industrial Metaverse -- Human centric Smart Manufacturing for Sustainability -- Human Digital Twin Modelling from a Human Factor Perspective -- Human centric smart design -- User participation in product conceptual design a process model and its iterative methodology -- Designing of a man machine-duplex production line for Human centric Smart Manufacturing towards Industry 5 0 -- Smart product service system a systematic framework for engineering product development and service innovation in human-cyber physical system -- Towards Digital Twin for Human Skeleton in Smart Manufacturing with predictive modelling -- Human centric smart production -- Identification and control methods of human computer interaction safety behaviour in digital twin workshop -- Operation tasks assignment optimization of human robot collaboration system based on NSGA II -- Safe Human Robot Collaboration Using Multi Modal Perception and Robot Learning -- Human centric smart assembly -- Digital twin enabled assistance for human centric assembly -- A digital twin enabled approach to reliable human robot collaborative assembly -- Human robot collaboration empowered by digital twin and knowledge graph in an intelligent assembly system -- Deep reinforcement learning based robot adaptive action decision making considering biased operator's actions in the human robot collaborative assembly -- Human machine synchronization for smart assembly in the context of Industry 5 0 -- Outlook and Future Trends.

This book presents a set of innovative solutions to human-centric manufacturing systems, offering critical insights and comprehensive application guidelines for understanding how to realize human-centric smart manufacturing by exerting its power and influence towards Industry 5.0. While human-centric manufacturing possesses a substantial and growing body of knowledge, there are distinct research gaps that are not sufficiently addressed. With the development of enabling technologies, it is necessary to propose more precise, robust, and practical approaches in support of smart manufacturing towards Industry 5.0. As a response to the new research opportunities, this book presents and highlights the latest development on applying advanced techniques in human-centric manufacturing. The book will be of interest to a broad readership, from academic researchers to practicing engineers.

ISBN: 9783031821707

Standard No.: 10.1007/978-3-031-82170-7doiSubjects--Topical Terms:

561941
Robotics.

LC Class. No.: TS183

Dewey Class. No.: 670.28563

Human-centric smart manufacturing towards Industry 5.0
LDR:03459nam a2200325 a 4500 001 1162193
003 DE-He213
005 20250413023433.0
006 m d
007 cr nn 008maaau
008 251029s2025 sz s 0 eng d
020 $a 9783031821707 $q (electronic bk.)
020 $a 9783031821691 $q (paper)
024 7 $a 10.1007/978-3-031-82170-7 $2 doi
035 $a 978-3-031-82170-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TS183
072 7 $a TGP $2 bicssc
072 7 $a TEC009060 $2 bisacsh
072 7 $a TGP $2 thema
082 0 4 $a 670.28563 $2 23
090 $a TS183 $b .H918 2025
245 0 0 $a Human-centric smart manufacturing towards Industry 5.0 $h [electronic resource] / $c edited by Baicun Wang ... [et al.].
260 $a Cham : $c 2025. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a xviii, 369 p. : $b ill. (chiefly color), digital ; $c 24 cm.
505 0 $a HSM Perspectives -- Human centric Smart Manufacturing and Interoperability towards the Industrial Metaverse -- Human centric Smart Manufacturing for Sustainability -- Human Digital Twin Modelling from a Human Factor Perspective -- Human centric smart design -- User participation in product conceptual design a process model and its iterative methodology -- Designing of a man machine-duplex production line for Human centric Smart Manufacturing towards Industry 5 0 -- Smart product service system a systematic framework for engineering product development and service innovation in human-cyber physical system -- Towards Digital Twin for Human Skeleton in Smart Manufacturing with predictive modelling -- Human centric smart production -- Identification and control methods of human computer interaction safety behaviour in digital twin workshop -- Operation tasks assignment optimization of human robot collaboration system based on NSGA II -- Safe Human Robot Collaboration Using Multi Modal Perception and Robot Learning -- Human centric smart assembly -- Digital twin enabled assistance for human centric assembly -- A digital twin enabled approach to reliable human robot collaborative assembly -- Human robot collaboration empowered by digital twin and knowledge graph in an intelligent assembly system -- Deep reinforcement learning based robot adaptive action decision making considering biased operator's actions in the human robot collaborative assembly -- Human machine synchronization for smart assembly in the context of Industry 5 0 -- Outlook and Future Trends.
520 $a This book presents a set of innovative solutions to human-centric manufacturing systems, offering critical insights and comprehensive application guidelines for understanding how to realize human-centric smart manufacturing by exerting its power and influence towards Industry 5.0. While human-centric manufacturing possesses a substantial and growing body of knowledge, there are distinct research gaps that are not sufficiently addressed. With the development of enabling technologies, it is necessary to propose more precise, robust, and practical approaches in support of smart manufacturing towards Industry 5.0. As a response to the new research opportunities, this book presents and highlights the latest development on applying advanced techniques in human-centric manufacturing. The book will be of interest to a broad readership, from academic researchers to practicing engineers.
650 2 4 $a Robotics. $3 561941
650 2 4 $a Control, Robotics, Automation. $3 1365878
650 2 4 $a Production. $3 1111231
650 1 4 $a Industrial and Production Engineering. $3 593943
650 0 $a Industry 5.0. $3 1460311
650 0 $a Human-machine systems. $3 563059
650 0 $a Manufacturing processes $x Technological innovations. $3 896558
650 0 $a Artificial intelligence $x Industrial applications. $3 796380
700 1 $a Wang, Baicun. $3 1489070
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-82170-7
950 $a Engineering (SpringerNature-11647)