Evaluation Planning for Artificial Intelligence-based Industry 6.0 Metaverse Integration

Janne Heilala, Khushboo Singh
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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.
基于人工智能的工业6.0元集成评价规划
本文在广泛研究选择性文献的基础上,提出了工业6.0 (I6.0)元集成的形象。简要讨论了从展示蒸汽机的工业1.0发展到包括自动化和机器人(AR)和增材制造(AM)在内的信息时代4.0的关键使能技术(KETs)。其目的是了解制造业如何与业务合作伙伴的核心竞争力、全球供应链(GSC)模式以及人类系统集成(HSI)之间的联系联系起来。5.0的水平需要高度发达的系统,出于安全原因,制造机器人必须考虑人为因素(HFs)。此外,设计室还必须考虑人体健康和安全。HSI需要这些机器人因素(rf),以便人类在制造环境中不受限制地工作。这项工作研究了人工智能(AI)如何在实践中通过创建一个测试设置来与高采样频率设备共享人类行为,从而转移到机器人身上。开发能够促进未来认知增强现实(AR)的模型将增加新一代互联网中虚拟世界初始步骤的沉浸感。在拟议的临床试验设置程序中,我们处理与模型生产相关的程序,从具有未来愿景的元层面到该研究领域的长期进展。最近在这一领域进行的研究的相关性和有希望的潜力表明,所提出的方法对实现未来的研究非常重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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