A Comprehensive Review of Cyber-physical System (CPS)-based Approaches to Robot Services

被引:0
|
作者
Shim S. [1 ]
Kim J.Y. [2 ]
Hwang S.W. [3 ]
Oh J.M. [2 ]
Kim B.K. [3 ]
Park J.H. [1 ]
Hyun D.J. [1 ]
Lee H. [4 ]
机构
[1] Robotics Lab, Hyundai Motor Company, Uiwang
[2] School of AI Convergence, Sungshin Women's University, Seoul
[3] School of Business Administration, Sungshin Women's University, Seoul
[4] Graduate School of Management of Technology, Sungkyunkwan University, Suwon
基金
新加坡国家研究基金会;
关键词
CPS; Robot services; SLR; TSA; Virtual spaces;
D O I
10.5573/IEIESPC.2024.13.1.69
中图分类号
学科分类号
摘要
Robotics is one of the leading technologies that can support and assist human activities and physical tasks. Recent advancements regarding the metaverse and virtual reality have allowed robots to operate through teleoperation or in a remote virtual space in real time. In addition to these technical advancements, various service and business items are being developed and deployed throughout virtual spaces and in robotics. In this context, it is necessary to approach virtual space and robotics research based on a cyber-physical system (CPS). However, to identify state-of-the-art services and items associated with CPS-based robotics research, we need in-depth analyses and follow-up of current research and development trends in virtual space and in robotics from academic and industrial perspectives. The present work investigates current trends in, and considerations of, robotics in virtual space by taking comprehensive approaches, specifically, the systematic literature review (SLR) and technical standards analysis (TSA). In the SLR, we finalized a selection of 36 publications, and then proceeded with trend and technical-item analyses. In the TSA, we selected four standards documents and analyzed the contents and critical aspects of each standard. The analysis results are interconnected to provide comprehensive insights into, and considerations for, CPS-based robot services. © 2024 Institute of Electronics Engineers of Korea. All rights reserved.
引用
收藏
页码:69 / 80
页数:11
相关论文
共 50 条
  • [31] An Integrated Scheme for Cyber-physical Building Energy Management System
    Wang, Shaolin
    Zhang, Guiqing
    Shen, Bin
    Xie, Xiuying
    CEIS 2011, 2011, 15
  • [32] A Comprehensive Review on Deep Learning Techniques on Cyber Attacks on Cyber Physical Systems
    Maloth Sagar
    C. Vanmathi
    SN Computer Science, 5 (7)
  • [33] Scheduling Algorithms for Cloud Based Cyber-Physical Systems Specification
    Zhang, Lichen
    Lai, Dandan
    Xu, Bingqing
    Liu, Chunyao
    2018 24TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC' 18), 2018, : 601 - 606
  • [34] IMU Sensor-Based Worker Behavior Recognition and Construction of a Cyber-Physical System Environment
    Park, Sehwan
    Youm, Minkyo
    Kim, Junkyeong
    SENSORS, 2025, 25 (02)
  • [35] Skill-based Metamodel for sustaining the process-oriented cyber-physical System Description
    Brovkina, Daniella
    Riedel, Oliver
    2019 IEEE 39TH CENTRAL AMERICA AND PANAMA CONVENTION (CONCAPAN XXXIX), 2019, : 57 - 62
  • [36] A Cyber-Physical System for Product Conceptual Design Based on an Intelligent Psycho-Physiological Approach
    Lou, Shanhe
    Feng, Yixiong
    Tian, Guangdong
    Lv, Zhihan
    Li, Zhiwu
    Tan, Jianrong
    IEEE ACCESS, 2017, 5 : 5378 - 5387
  • [37] Study of a BIM-Based Cyber-Physical System and Intelligent Disaster Prevention System in Taipei Main Station
    Lin, Chao-Hsiu
    Ho, Ming-Chin
    Hsieh, Po-Chuan
    Shiau, Yan-Chyuan
    Yang, Ming-Ling
    APPLIED SCIENCES-BASEL, 2022, 12 (21):
  • [38] Analysis of Machine Learning and Deep Learning in Cyber-Physical System Security
    Ankita
    Zaguia, Atef
    Rani, Shalli
    Bashir, Ali Kashif
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON COMPUTING AND COMMUNICATION NETWORKS (ICCCN 2021), 2022, 394 : 355 - 363
  • [39] Research on cyber-physical system models of downhole locomotive dispatching and fault
    Ma, Jinyu
    Zheng, Jianzhi
    Li, Boyun
    Li, Wenhong
    ADVANCES IN MECHANICAL ENGINEERING, 2023, 15 (09)
  • [40] Optimizing intrusion detection in industrial cyber-physical systems through transfer learning approaches
    Nour, Amro A.
    Mehbodniya, Abolfazl
    Webber, Julian L.
    Bostani, Ali
    Shah, Bhoomi
    Ergashevich, Beknazarov Zafarjon
    Sathishkumar, K.
    COMPUTERS & ELECTRICAL ENGINEERING, 2023, 111