6G Mobile Communications for Multi-Robot Smart Factory

被引:0
|
作者
Chen Z. [1 ]
Chen K.-C. [1 ]
Dong C. [2 ]
Nie Z. [1 ]
机构
[1] University of South Florida, Tampa, FL
[2] Fuzhou University, Fujian, Fuzhou
来源
Journal of ICT Standardization | 2021年 / 9卷 / 03期
关键词
5G; 6G; artificial intelligence; collaboration; industry; 4.0; machine learning; mMTC; multi-agent system; multi-robot system; reinforcement learning; security; Smart factory; smart manufacturing; social learning; uRLLC; wireless communication;
D O I
10.13052/jicts2245-800X.934
中图分类号
学科分类号
摘要
Private or special-purpose wireless networks present a new technological trend for future mobile communications, while one attractive application scenario is the wireless communication in a smart factory. In addition to wireless technologies, this paper pays special attention to treat a smart factory as the integration of collaborative multi-robot systems for production robots and transportation robots. Multiple aspects of collaborative multi-robot systems enabled by wireless networking have been investigated, dynamic multirobot task assignment for collaborative production robots and subsequent transportation robots, social learning to enhance precision and robustness of collaborative production robots, and more efficient operation of collaborative transportation robots. Consequently, the technical requirements of 6G mobile communication can be logically highlighted. © 2021 River Publishers.
引用
收藏
页码:371 / 404
页数:33
相关论文
共 50 条
  • [1] Robot -Based Multi -Purpose Measurement Platform for 6G Communications
    Chung, Woohyun
    Cho, Chihyun
    Kwon, Jae-Yong
    [J]. 2023 101ST ARFTG MICROWAVE MEASUREMENT CONFERENCE, ARFTG, 2023,
  • [2] Multi-robot system task allocation mechanism for smart factory
    Huang, Yin
    Zhang, Yi
    Xiao, Hong
    [J]. PROCEEDINGS OF 2019 IEEE 8TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC 2019), 2019, : 587 - 591
  • [3] Technology prospect of 6G mobile communications
    Zhang P.
    Niu K.
    Tian H.
    Nie G.
    Qin X.
    Qi Q.
    Zhang J.
    [J]. Tongxin Xuebao/Journal on Communications, 2019, 40 (01): : 141 - 148
  • [4] Multi-perspective approach for developing sustainable 6G mobile communications
    Matinmikko-Blue, Marja
    Yrjola, Seppo
    Ahokangas, Petri
    [J]. TELECOMMUNICATIONS POLICY, 2024, 48 (02)
  • [5] Distributed Coordination by Social Learning in the Multi-Robot Systems of a Smart Factory
    Nie, Zixiang
    Chen, Kwang-Cheng
    [J]. 2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2021,
  • [6] Prospects and Technologies for Mobile Terahertz 6G Communications
    Tebart, Jonas
    Lu, Peng
    Haddad, Thomas
    Iwamatsu, Shuya
    Stoehr, Andreas
    [J]. 2023 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION, OFC, 2023,
  • [7] Potential key technologies for 6G mobile communications
    Yuan, Yifei
    Zhao, Yajun
    Zong, Baiqing
    Parolari, Sergio
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2020, 63 (08)
  • [8] Potential key technologies for 6G mobile communications
    Yifei YUAN
    Yajun ZHAO
    Baiqing ZONG
    Sergio PAROLARI
    [J]. Science China(Information Sciences), 2020, 63 (08) : 217 - 235
  • [9] Potential key technologies for 6G mobile communications
    Yifei Yuan
    Yajun Zhao
    Baiqing Zong
    Sergio Parolari
    [J]. Science China Information Sciences, 2020, 63
  • [10] Greener Physical Layer Technologies for 6G Mobile Communications
    Han, Shuangfeng
    Xie, Tian
    Chih-Lin, I
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2021, 59 (04) : 68 - 74