Department of Electrical and Computer Engineering, Faculdade de Engenharia da Universidade do Porto (FEUP), 4200-465 Porto, Portugal.
INESC TEC-Institute for Systems and Computer Engineering Technology and Science, 4200-465 Porto, Portugal.
Sensors (Basel). 2022 Apr 1;22(7):2725. doi: 10.3390/s22072725.
With the continuously growing usage of collaborative robots in industry, the need for achieving a seamless human-robot interaction has also increased, considering that it is a key factor towards reaching a more flexible, effective, and efficient production line. As a prominent and prospective tool to support the human operator to understand and interact with robots, Augmented Reality (AR) has been employed in numerous human-robot collaborative and cooperative industrial applications. Therefore, this systematic literature review critically appraises 32 papers' published between 2016 and 2021 to identify the main employed AR technologies, outline the current state of the art of augmented reality for human-robot collaboration and cooperation, and point out future developments for this research field. Results suggest that this is still an expanding research field, especially with the advent of recent advancements regarding head-mounted displays (HMDs). Moreover, projector-based and HMDs developed approaches are showing promising positive influences over operator-related aspects such as performance, task awareness, and safety feeling, even though HMDs need further maturation in ergonomic aspects. Further research should focus on large-scale assessment of the proposed solutions in industrial environments, involving the solution's target audience, and on establishing standards and guidelines for developing AR assistance systems.
随着协作机器人在工业中的应用不断增加,实现无缝人机交互的需求也在增加,因为这是实现更灵活、更高效、更有效的生产线的关键因素。增强现实(AR)作为一种支持人类操作员理解和与机器人交互的重要工具,已在许多人机协作和合作的工业应用中得到了应用。因此,本系统文献综述批判性地评估了 2016 年至 2021 年间发表的 32 篇论文,以确定主要采用的 AR 技术,概述人机协作和合作的增强现实的现状,并指出该研究领域的未来发展方向。研究结果表明,这仍然是一个不断发展的研究领域,特别是随着近年来关于头戴式显示器(HMD)的最新进展。此外,基于投影仪和 HMD 开发的方法在操作员相关方面表现出了有希望的积极影响,例如性能、任务意识和安全感觉,尽管 HMD 在人体工程学方面还需要进一步成熟。进一步的研究应该集中在大规模评估工业环境中提出的解决方案,涉及解决方案的目标受众,并制定开发 AR 辅助系统的标准和指南。