6G Mobile Communications for Multi-Robot Smart Factory

Authors

DOI:

https://doi.org/10.13052/jicts2245-800X.934

Keywords:

Smart factory, industry 4.0, smart manufacturing, wireless communication, uRLLC, mMTC, 5G, 6G, multi-robot system, multi-agent system, collaboration, artificial intelligence, machine learning, reinforcement learning, social learning, security

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 multi-robot 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.

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Author Biographies

Zhenyi Chen, University of South Florida, Tampa, FL, USA

Zhenyi Chen received the B.S. and M.S. degrees in computer science from the College of Mathematics and Computer Science, Fuzhou University, China, in 2000 and 2005, respectively, and the Ph.D. degree in computer science from the Computer School, Wuhan University, China, in 2012. He is currently pursuing the second Ph.D. degree with the Department of Electrical Engineering, University of South Florida. His research interests include swarm intelligence, optimization and smart manufacturing.

Kwang-Cheng Chen, University of South Florida, Tampa, FL, USA

Kwang-Cheng Chen received the B.S. degree from the National Taiwan University, Taipei, Taiwan, in 1983 and the M.S. and Ph.D. degrees from the University of Maryland, College Park, MD, USA, in 1987 and 1989, respectively, all in electrical engineering. He was with SSE, Bethesda, MD, COMSAT, Clarksburg, MD, IBM Thomas J. Watson Research Center, IBM T.J. Watson Research Center, Yorktown and National Tsing Hua University, Hsinchu, Taiwan. From 1998 to 2016, he was a Distinguished Professor with the National Taiwan University, Taipei, Taiwan, ROC, where he was the Director of the Graduate Institute of Communication Engineering and the Communication Research Center and the Associate Dean for Academic Affairs of the College of Electrical Engineering and Computer Science from 2009 to 2015. Since 2016, he has been the Professor of electrical engineering with the University of South Florida, Tampa, FL, USA. He also actively participates in and has contributed essential technology to various IEEE 802, Bluetooth, LTE and LTE-A, 5G-NR, and ITU-T FG ML5G wireless standards. His recent research interests include wireless networks, multirobot systems, Internet of Things (IoT), and cyber–physical system (CPS), social networks and data analytics, and cybersecurity. Dr. Chen, an IEEE Fellow, received a number of IEEE awards, including the 2011 IEEE COMSOC WTC Recognition Award, the 2014 IEEE Jack Neubauer Memorial Award, and the 2014 IEEE COMSOC AP Outstanding Paper Award. He has actively participated in the organization of various IEEE conferences as the general/TPC chair/co-chair, and has served in editorship with several IEEE journals.

Chen Dong, Fuzhou University, Fuzhou, Fujian, China

Chen Dong received her B.S. and M.S. degrees in computer science from Fuzhou University, China, in 2002 and 2005 respectively. She received her Ph.D. degree in computer science from the Computer School, Wuhan University, China, in 2011. She worked as a visiting researcher at the University of California, Los Angeles (UCLA), USA, from 2015 to 2016. She is currently working as an assistant professor at the College of Mathematics and Computer Science, Fuzhou University. Her research interests are artificial intelligence, big data and integrated circuit security and physical design.

Zixiang Nie, University of South Florida, Tampa, FL, USA

Zixiang Nie received B.E. degree at Beijing University of Technology, Beijing, China in 2016 and M.S degree at University of Florida in 2019. From 2019, he is a PhD student and research assistant at University of South Florida. His research involves computing solutions for multi-agent systems in context of smart factories. His research interests include wireless networked multi-agent systems, resilient multi-agent systems and cyber security.

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Published

2021-12-20

How to Cite

Chen, Z. ., Chen, K.-C. ., Dong, C. ., & Nie, Z. . (2021). 6G Mobile Communications for Multi-Robot Smart Factory. Journal of ICT Standardization, 9(03), 371–404. https://doi.org/10.13052/jicts2245-800X.934

Issue

2021: Vol 9 Iss 3

Section

6G Enabling Technologies – Innovation 6G