虚拟现实环境的模板概念:基于虚拟现实的人机协作安全培训案例研究

IF 9.1 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Morteza Dianatfar , Eeva Järvenpää , Niko Siltala , Minna Lanz
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引用次数: 0

摘要

工业4.0的愿景加速了技术的发展,特别是在工业中使用增强现实(AR)和虚拟现实(VR),如虚拟世界。然而,创建虚拟现实环境是一项艰巨的任务,这意味着它们的全部潜力尚未得到充分利用。需要一种可重复使用的VR模型,以便更快地生成和填充VR环境。这项研究旨在寻找在工业背景下更快地开发和部署VR环境的解决方案。具体来说,本文提出了一种更有效地创建和修改这些环境的解决方案。这项研究的重点,以及相关的工业用例,是在使用VR环境的最终装配场景中,为人机协作开发安全培训。本文将介绍一个模板概念,其中包括单个模板和部署这些模板的完整架构,允许更快地修改VR环境以满足特定用例需求。这个模板概念是使用来自学术界和工业界的两个独立用例开发的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Template concept for VR environments: A case study in VR-based safety training for human–robot collaboration
The industry 4.0 vision has accelerated technology development, particularly in the use of augmented reality (AR) and virtual reality (VR) in industry, such as the metaverse. However, creating VR environments is known to be a laborious task, which means their full potential is not yet fully utilized. There is a need for a reusable VR model that enables faster generation and population of VR environments. This research aims to find solutions for quicker development and deployment of VR environments in an industrial context. Specifically, this paper proposes one solution for creating and modifying these environments more efficiently. The focus of the research, along with the associated industrial use cases, is to develop safety training for human–robot collaboration in final assembly scenarios using VR environments. The paper will introduce a template concept, which includes individual templates and the full architecture to deploy these templates, allowing for faster modification of VR environments to meet specific use case needs. This template concept is developed using two separate use cases from academia and industry.
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来源期刊
Robotics and Computer-integrated Manufacturing
Robotics and Computer-integrated Manufacturing 工程技术-工程:制造
CiteScore
24.10
自引率
13.50%
发文量
160
审稿时长
50 days
期刊介绍: The journal, Robotics and Computer-Integrated Manufacturing, focuses on sharing research applications that contribute to the development of new or enhanced robotics, manufacturing technologies, and innovative manufacturing strategies that are relevant to industry. Papers that combine theory and experimental validation are preferred, while review papers on current robotics and manufacturing issues are also considered. However, papers on traditional machining processes, modeling and simulation, supply chain management, and resource optimization are generally not within the scope of the journal, as there are more appropriate journals for these topics. Similarly, papers that are overly theoretical or mathematical will be directed to other suitable journals. The journal welcomes original papers in areas such as industrial robotics, human-robot collaboration in manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.
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