A Systematic Review of XR-Enabled Remote Human-Robot Interaction Systems

IF 28 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Xian Wang, Luyao Shen, Lik-Hang Lee
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引用次数: 0

Abstract

The rising interest in creating versatile robots to handle multiple tasks in various environments, with humans interacting through immersive interfaces. This survey provides a comprehensive review of extended reality (XR) applications in remote human-robot interaction (HRI). We developed a systematic search strategy based on the PRISMA methodology, focusing on peer-reviewed publications that demonstrate practical implementations of XR in remote robot control, real robot system deployment, and HRI applications, we analyzed research published between January 2013 and December 2023. From the initial 2,561 articles, 100 met our inclusion criteria were included. We categorized and summarized the domain in detail, delving into the methods used in these articles to achieve intuitive and effective remote HRI, highlighting user experience enhancement and interaction designs. This survey identifies research opportunities, particularly emphasizes that future researchers should explore the potential of XR, such as exploring multimodal enhancement techniques that seamlessly integrate visual, haptic, and auditory feedback for more intuitive teleoperation. Our analysis reveals that while XR shows promising potential in remote HRI, there are significant gaps, such as user-centered design. This survey provides a framework for understanding the current state of XR-based remote HRI, establishing a foundation for future research.
基于xr的远程人机交互系统综述
人们对创造多功能机器人越来越感兴趣,这些机器人可以在各种环境中处理多种任务,人类可以通过沉浸式界面进行交互。本文综述了扩展现实(XR)在远程人机交互(HRI)中的应用。我们基于PRISMA方法制定了一个系统的搜索策略,重点关注同行评审的出版物,这些出版物展示了XR在远程机器人控制、真实机器人系统部署和HRI应用中的实际实现,我们分析了2013年1月至2023年12月之间发表的研究。从最初的2561篇文章中,有100篇符合我们的纳入标准。我们对该领域进行了详细的分类和总结,深入研究了这些文章中用于实现直观有效的远程HRI的方法,重点介绍了用户体验增强和交互设计。该调查确定了研究机会,特别强调未来的研究人员应该探索XR的潜力,例如探索无缝集成视觉、触觉和听觉反馈的多模态增强技术,以实现更直观的远程操作。我们的分析表明,虽然XR在远程HRI中显示出巨大的潜力,但仍存在重大差距,例如以用户为中心的设计。该调查为了解基于xr的远程HRI的现状提供了一个框架,为未来的研究奠定了基础。
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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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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