{"title":"A Systematic Review of XR-Enabled Remote Human-Robot Interaction Systems","authors":"Xian Wang, Luyao Shen, Lik-Hang Lee","doi":"10.1145/3730574","DOIUrl":null,"url":null,"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.","PeriodicalId":50926,"journal":{"name":"ACM Computing Surveys","volume":"65 1","pages":""},"PeriodicalIF":28.0000,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Computing Surveys","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3730574","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
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.
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.