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author:

Chen, Zhenyi (Chen, Zhenyi.) [1] | Chen, Kwang-Cheng (Chen, Kwang-Cheng.) [2] | Dong, Chen (Dong, Chen.) [3] (Scholars:董晨) | Nie, Zixiang (Nie, Zixiang.) [4]

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Abstract:

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.

Keyword:

5G mobile communication systems Industrial robots Industry 4.0 Multi agent systems Multipurpose robots Reinforcement learning Robot learning

Community:

  • [ 1 ] [Chen, Zhenyi]University of South Florida, Tampa; FL, United States
  • [ 2 ] [Chen, Kwang-Cheng]University of South Florida, Tampa; FL, United States
  • [ 3 ] [Dong, Chen]Fuzhou University, Fujian, Fuzhou, China
  • [ 4 ] [Nie, Zixiang]University of South Florida, Tampa; FL, United States

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Source :

Journal of ICT Standardization

ISSN: 2245-800X

Year: 2021

Issue: 3

Volume: 9

Page: 371-404

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 13

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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