| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Human-centric smart manufacturing towards Industry 5.0/ edited by Baicun Wang ... [et al.]. |
| other author: |
Wang, Baicun. |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
xviii, 369 p. :ill. (chiefly color), digital ;24 cm. |
| [NT 15003449]: |
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. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Artificial intelligence - Industrial applications. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-82170-7 |
| ISBN: |
9783031821707 |