{"title":"Evaluation Planning for Artificial Intelligence-based Industry 6.0\n Metaverse Integration","authors":"Janne Heilala, Khushboo Singh","doi":"10.54941/ahfe1002892","DOIUrl":null,"url":null,"abstract":"The article presents an image of Industry 6.0 (I6.0) metaverse\n integration based on an extensive study of selective literature. The Key\n Enabling Technologies (KETs) developed from industry 1.0, which showcased\n steam engines, to the information age 4.0, which includes Automation and\n Robotics (AR) and Additive Manufacturing (AM), are briefly discussed. The\n aim is to know how manufacturing practically links to the connection between\n business partners' core competence, the Global Supply Chain (GSC) pattern,\n and how Human Systems Integrate (HSI). The level of I5.0 requires highly\n developed systems, and manufacturing robots must consider Human Factors\n (HFs) for safety reasons. In addition, the design office must also consider\n human health and safety. HSI requires these Robot Factors (RFs) for humans\n to work in the manufacturing environment without being restricted. This work\n investigates how Artificial Intelligence (AI) can be transferred to a robot\n in practice by creating a test setup for sharing human behavior with high\n sampling frequency devices. Developing models that can promote the future of\n cognitive Augmented Reality (AR) will increase the immersion of initial\n steps of the metaverse in the new generation internet. In the proposed\n clinical test setup program, we deal with the procedures related to the\n model's production from a meta-level with a futuristic vision to long-term\n progress in this field of research. The relevance and promising potential of\n the recent research conducted in this area suggest that the proposed\n approach is highly significant in enabling future studies.","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54941/ahfe1002892","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The article presents an image of Industry 6.0 (I6.0) metaverse
integration based on an extensive study of selective literature. The Key
Enabling Technologies (KETs) developed from industry 1.0, which showcased
steam engines, to the information age 4.0, which includes Automation and
Robotics (AR) and Additive Manufacturing (AM), are briefly discussed. The
aim is to know how manufacturing practically links to the connection between
business partners' core competence, the Global Supply Chain (GSC) pattern,
and how Human Systems Integrate (HSI). The level of I5.0 requires highly
developed systems, and manufacturing robots must consider Human Factors
(HFs) for safety reasons. In addition, the design office must also consider
human health and safety. HSI requires these Robot Factors (RFs) for humans
to work in the manufacturing environment without being restricted. This work
investigates how Artificial Intelligence (AI) can be transferred to a robot
in practice by creating a test setup for sharing human behavior with high
sampling frequency devices. Developing models that can promote the future of
cognitive Augmented Reality (AR) will increase the immersion of initial
steps of the metaverse in the new generation internet. In the proposed
clinical test setup program, we deal with the procedures related to the
model's production from a meta-level with a futuristic vision to long-term
progress in this field of research. The relevance and promising potential of
the recent research conducted in this area suggest that the proposed
approach is highly significant in enabling future studies.