Automation 5.0: The Key to Systems Intelligence and Industry 5.0

Ljubo Vlacic; Hailong Huang; Mariagrazia Dotoli; Yutong Wang; Petros A. Ioannou; Lili Fan; Xingxia Wang; Raffaele Carli; Chen Lv; Lingxi Li; Xiaoxiang Na; Qing-Long Han; Fei-Yue Wang

doi:10.1109/JAS.2024.124635

Volume 11 Issue 8

Aug. 2024

IEEE/CAA Journal of Automatica Sinica

JCR Impact Factor: 15.3, Top 1 (SCI Q1)

CiteScore: 23.5, Top 2% (Q1)
Google Scholar h5-index: 77， TOP 5

Turn off MathJax

Article Contents

Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2024 > 11(8): 1723-1727

L. Vlacic, H. Huang, M. Dotoli, Y. Wang, P. Ioannou, L. Fan, X. Wang, R. Carli, C. Lv, L. Li, X. Na, Q.-L. Han, and F.-Y. Wang, “Automation 5.0: The key to systems intelligence and Industry 5.0,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1723-1727, Aug. 2024. doi: 10.1109/JAS.2024.124635

Citation:

L. Vlacic, H. Huang, M. Dotoli, Y. Wang, P. Ioannou, L. Fan, X. Wang, R. Carli, C. Lv, L. Li, X. Na, Q.-L. Han, and F.-Y. Wang, “Automation 5.0: The key to systems intelligence and Industry 5.0,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1723-1727, Aug. 2024. doi: 10.1109/JAS.2024.124635

Citation:

L. Vlacic, H. Huang, M. Dotoli, Y. Wang, P. Ioannou, L. Fan, X. Wang, R. Carli, C. Lv, L. Li, X. Na, Q.-L. Han, and F.-Y. Wang, “Automation 5.0: The key to systems intelligence and Industry 5.0,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1723-1727, Aug. 2024. doi: 10.1109/JAS.2024.124635

PDF( 2574 KB)

Automation 5.0: The Key to Systems Intelligence and Industry 5.0

doi: 10.1109/JAS.2024.124635

Ljubo Vlacic^{1
,
,},
Hailong Huang^{2
,
,},
Mariagrazia Dotoli^{3
,
,},
Yutong Wang^{4, 5
,
,},
Petros A. Ioannou^{6
,
,},
Lili Fan^{7
,
,},
Xingxia Wang^{4, 8, 9
,
,},
Raffaele Carli^{3
,
,},
Chen Lv^{10
,
,},
Lingxi Li^{11
,
,},
Xiaoxiang Na^{12
,
,},
Qing-Long Han^{13
,
,},
Fei-Yue Wang^{8, 14, 15
,
,}

1.
Institute of Intelligent and Integrated Systems and the School of Engineering and Built Environment, Griffith University, Nathan, QLD 4111, Australia
2.
Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong, China
3.
Department of Electrical and Information Engineering, Polytechnic of Bari, 70126 Bari, Italy
4.
State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190
5.
Qingdao Academy of Intelligent Industries, Qingdao 266114, China
6.
Department of Electrical Engineering-Systems, University of Southern California, Los Angeles, CA 90007 USA
7.
School of Automation, Beijing Institute of Technology, Beijing 100081, China
8.
School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049
9.
Beijing Huairou Academy of Parallel Sensing, Beijing 101499, China
10.
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore
11.
Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202 USA
12.
Department of Engineering, University of Cambridge, CB2 1TN Cambridge, U.K.
13.
School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne VIC 3122, Australia
14.
State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences, Beijing 100190
15.
Dazhou Artificial Intelligence Institute, Dazhou, and the Faculty of Innovation Engineering, Macau University of Science and Technology, Macau 999078, China

More Information

Author Bio:
Ljubo Vlacic (Life Senior Member, IEEE) Bio of Ljubo Vlacic can be found at https://ieeexplore.ieee.org/author/37284636100. e-mail: l.vlacic@griffith.edu.au

Hailong Huang (Senior Member, IEEE) Bio of Hailong Huang can be found at https://ieeexplore.ieee.org/author/37085839743. e-mail: hailong.huang@polyu.edu.hk

Mariagrazia Dotoli (Fellow, IEEE) Bio of Mariagrazia Dotoli can be found at https://ieeexplore.ieee.org/author/37300909600. e-mail: mariagrazia.dotoli@poliba.it

Yutong Wang (Member, IEEE) Bio of Yutong Wang can be found at https://ieeexplore.ieee.org/author/37088758926. e-mail: yutong.wang@ia.ac.cn

Petros A. Ioannou (Life Fellow, IEEE) Bio of Petros A. Ioannou can be found at https://ieeexplore.ieee.org/author/37281518200. e-mail: ioannou@usc.edu

Lili Fan Bio of Lili Fan can be found at https://ieeexplore.ieee.org/author/37089635745. e-mail: lilifan@bit.edu.cn

Xingxia Wang (Student Member, IEEE) Bio of Xingxia Wang can be found at https://ieeexplore.ieee.org/author/37089629764. e-mail: wangxingxia2022@ia.ac.cn

Raffaele Carli (Member, IEEE) Bio of Raffaele Carli can be found at https://ieeexplore.ieee.org/author/37085348833. e-mail: raffaele.carli@poliba.it

Chen Lv (Senior Member, IEEE) Bio of Chen Lv can be found at https://ieeexplore.ieee.org/author/37086095836. e-mail: lyuchen@ntu.edu.sg

Lingxi Li (Senior Member, IEEE) Bio of Lingxi Li can be found at https://ieeexplore.ieee.org/author/37293042500. e-mail: ll7@iupui.edu

Xiaoxiang Na (Member, IEEE) Bio of Xiaoxiang Na can be found at https://ieeexplore.ieee.org/author/37085545267. e-mail: xnhn2@eng.cam.ac.uk

Qing-Long Han (Fellow, IEEE) Bio of Qing-Long Han can be found at https://ieeexplore.ieee.org/author/37274962400. e-mail: qhan@swin.edu.au

Fei-Yue Wang (Fellow, IEEE) Bio of Fei-Yue Wang can be found at https://ieeexplore.ieee.org/author/37277656000. e-mail: feiyue.wang@ia.ac.cn

Abstract

FullText(HTML)

References(48)

References

[1]	X. Wang, J. Yang et al., "Steps toward Industry 5.0: Building "6S" parallel industries with cyber-physical-social intelligence," IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1692–1703, 2023. doi: 10.1109/JAS.2023.123753
[2]	Y. Chen, H. Zhang et al., "Society-centered and DAO-powered sustainability in Transportation 5.0: An intelligent vehicles perspective," IEEE Trans. Intell. Veh. , vol. 8, no. 4, pp. 2635–2638, 2023. doi: 10.1109/TIV.2023.3264585
[3]	J. Li, R. Qin et al., "Logistics 5.0: From intelligent networks to sustainable ecosystems," IEEE Trans. Intell. Veh. , vol. 8, no. 7, pp. 3771–3774, 2023. doi: 10.1109/TIV.2023.3295796
[4]	J. Yang, Y. Wang et al., "Generative AI empowering parallel manufacturing: Building a "6S" collaborative production ecology for Manufacturing 5.0," IEEE Trans. Syst. Man Cybern.-Syst. , pp. 1–15, 2024, doi: 10.1109/TSMC.2024.3349555.
[5]	S. Proia, R. Carli et al., "Control techniques for safe, ergonomic, and efficient human-robot collaboration in the digital industry: A survey," IEEE Trans. Autom. Sci. Eng. , vol. 19, no. 3, pp. 1798–1819, 2021.
[6]	L. Fan, D. Wang et al., "Pavement defect detection with deep learning: A comprehensive survey," IEEE Trans. Intell. Veh. , vol. 9, no. 3, pp. 4292–4311, 2024. doi: 10.1109/TIV.2023.3326136
[7]	F. -Y. Wang, "Parallel control and management for intelligent transportation systems: Concepts, architectures, and applications," IEEE Trans. Intell. Transp. Syst. , vol. 11, no. 3, pp. 630–638, 2010. doi: 10.1109/TITS.2010.2060218
[8]	Y. Yuan and F. -Y. Wang, "Blockchain: The state of the art and future trends," Acta Autom. Sinica, vol. 42, no. 4, pp. 481–494, 2016.
[9]	J. Li, R. Qin et al., "The future of management: DAO to smart organizations and intelligent operations," IEEE Trans. Syst. Man Cybern. -Syst. , vol. 53, no. 6, pp. 3389–3399, 2023. doi: 10.1109/TSMC.2022.3226748
[10]	L. Fan, C. Zeng et al., "A secured vehicle brain: DAO-based collaborative perception and decision-making systems for intelligent vehicles in CPSS," IEEE Trans. Intell. Veh. , vol. 9, no. 1, pp. 52–54, 2024. doi: 10.1109/TIV.2023.3341698
[11]	X. Wang, J. Li et al., "Advancing vehicular healthcare: The DAO-based parallel maintenance for intelligent vehicles," IEEE Trans. Intell. Veh. , vol. 8, no. 12, pp. 4671–4673, 2023. doi: 10.1109/TIV.2023.3341855
[12]	L. Fan, X. Wang et al., "Social radars for social vision of intelligent vehicles: A new direction for vehicle research and development," IEEE Trans. Intell. Veh. , vol. 9, no. 3, pp. 4244–4248, 2024. doi: 10.1109/TIV.2024.3388848
[13]	X. Dai, M. Vallati et al., "The road ahead: DAO-secured V2X infrastructures for safe and smart vehicular management," IEEE Trans. Intell. Veh. , vol. 8, no. 12, pp. 4674–4677, 2023. doi: 10.1109/TIV.2023.3337993
[14]	L. Fan, J. Wang et al., "4D mmwave radar for autonomous driving perception: A comprehensive survey," IEEE Trans. Intell. Veh. , pp. 1–15, 2024, doi: 10.1109/TIV.2024.3380244.
[15]	L. Fan, C. Zeng et al., "Sea-Net: Visual cognition-enabled sample and embedding adaptive network for SAR image object classification," IEEE Trans. Intell. Veh. , pp. 1–14, 2023, doi: 10.1109/TIV.2023.3326169.
[16]	J. Li, R. Qin et al., "Attention markets of blockchain-based decentralized autonomous organizations," IEEE/CAA J. Autom. Sinica, vol. 11, no. 6, pp. 1370–1380, 2024. doi: 10.1109/JAS.2024.124491
[17]	X. Yu, W. He et al., "Human-robot co-carrying using visual and force sensing," IEEE Trans. Ind. Electron. , vol. 68, no. 9, pp. 8657–8666, 2020.
[18]	F. -Y. Wang, "Advanced studies of flexible robotic manipulators: Modeling, design, control and applications," World Scientific, 2003.
[19]	L. Chen, Y. Xie, Y. He, Y. Ai, B. Tian, L. Li, S. Ge, and F. -Y. Wang, "Autonomous mining through cooperative driving and operations enabled by parallel intelligence," Commun. Eng. , vol. 3, no. 1, p. 75, 2024. doi: 10.1038/s44172-024-00220-5
[20]	Y. Wang, X. Wang et al., "The ChatGPT after: Building knowledge factories for knowledge workers with knowledge automation," IEEE/CAA J. Autom. Sinica, vol. 10, no. 11, pp. 2041–2044, 2023. doi: 10.1109/JAS.2023.123966
[21]	L. Dammacco, R. Carli et al., "Designing complex manufacturing systems by virtual reality: A novel approach and Its application to the virtual commissioning of a production line," Comput. Ind. , vol. 143, p. 103761, 2022. doi: 10.1016/j.compind.2022.103761
[22]	M. Matulis and C. Harvey, "A robot arm digital twin utilising reinforcement learning," Comput. Graph. , vol. 95, pp. 106–114, 2021. doi: 10.1016/j.cag.2021.01.011
[23]	T. Shen, J. Sun et al., "The journey/DAO/TAO of embodied intelligence: From large models to foundation intelligence and parallel intelligence," IEEE/CAA J. Autom. Sinica, vol. 11, no. 6, pp. 1313–1316, 2024. doi: 10.1109/JAS.2024.124407
[24]	X. Liu, L. Zheng et al., "Human-centric collaborative assembly system for large-scale space deployable mechanism driven by digital twins and wearable AR devices," J. Manuf. Syst. , vol. 65, pp. 720–742, 2022. doi: 10.1016/j.jmsy.2022.11.007
[25]	F. -Y. Wang, "Forward to the past: CASTLab's cyber-social-physical approach for ITS in 1999," IEEE Intell. Transp. Syst. Mag. , vol. 15, no. 4, pp. 171–175, 2023. doi: 10.1109/MITS.2023.3278158
[26]	F. -Y. Wang, "Parallel system methods for management and control of complex systems," Control Decis. , vol. 19, pp. 485–489, 2004.
[27]	F. -Y. Wang, "The emergence of intelligent enterprises: From CPS to CPSS," IEEE Intell. Syst. , vol. 25, no. 4, pp. 85–88, 2010. doi: 10.1109/MIS.2010.104
[28]	F. -Y. Wang, "Control 5.0: From Newton to Merton in Popper's cybersocial-physical spaces," IEEE/CAA J. Autom. Sinica, vol. 3, no. 3, pp. 233–234, 2016. doi: 10.1109/JAS.2016.7508796
[29]	F. -Y. Wang, "Parallel philosophy and intelligent science: From Leibniz's Monad to blockchain's DAO," Pattern Recognit. Artif. Intell. , vol. 33, no. 12, pp. 1055–1065, 2020.
[30]	X. Wang, J. Yang et al., "Metaverses and demetaverses: From digital twins in CPS to parallel intelligence in CPSS," IEEE Intell. Syst. , vol. 37, no. 4, pp. 97–102, 2022. doi: 10.1109/MIS.2022.3196592
[31]	J. Yang, X. Wang et al., "Parallel intelligence in CPSSs: Being, becoming, and believing," IEEE Intell. Syst. , vol. 38, no. 6, pp. 75–80, 2023. doi: 10.1109/MIS.2023.3284694
[32]	Y. Wang, M. Kang et al., "Can digital intelligence and cyberphysical-social systems achieve global food security and sustainability?" IEEE/CAA J. Autom. Sinica, vol. 10, no. 11, pp. 2070–2080, 2023. doi: 10.1109/JAS.2023.123951
[33]	F. -Y. Wang, "Industry 4.0: The Queen's new clothes?" http://news.sciencenet.cn/sbhtmlnews/2014/11/294317.shtm, 2014, [Accessed: 2024-06-05].
[34]	X. Wang, Y. Wang et al., "A paradigm shift for modeling and operation of oil and gas: From industry 4.0 in CPS to Industry 5.0 in CPSS," IEEE Trans. Ind. Inform. , pp. 1–8, 2024, doi: 10.1109/TII.2024.3378848.
[35]	R. Qin, Y. Yuan et al., "Blockchain-based knowledge automation for CPSS-oriented parallel management," IEEE Trans. Comput. Soc. Syst. , vol. 7, no. 5, pp. 1180–1188, 2020. doi: 10.1109/TCSS.2020.3023046
[36]	H. Lu, Y. Zhu et al., "Social signal-driven knowledge automation: A focus on social transportation," IEEE Trans. Comput. Soc. Syst. , vol. 8, no. 3, pp. 737–753, 2021. doi: 10.1109/TCSS.2021.3057332
[37]	F. -Y. Wang, J. J. Zhang et al., "Where does AlphaGo go: From churchturing thesis to AlphaGo thesis and beyond," IEEE/CAA J. Autom. Sinica, vol. 3, no. 2, pp. 113–120, 2016. doi: 10.1109/JAS.2016.7471613
[38]	E. Kasneci, K. Seßler et al., "ChatGPT for good? On opportunities and challenges of large language models for education," Learn. Individ. Differ. , vol. 103, p. 102274, 2023. doi: 10.1016/j.lindif.2023.102274
[39]	Y. Chang, X. Wang et al., "A survey on evaluation of large language models," ACM Trans. Intell. Syst. Technol. , vol. 15, no. 3, pp. 1–45, 2024.
[40]	Y. Cui, S. Huang et al., "DriveLLM: Charting the path toward full autonomous driving with large language models," IEEE Trans. Intell. Veh. , vol. 9, no. 1, pp. 1450–1464, 2024. doi: 10.1109/TIV.2023.3327715
[41]	C. Guo, Y. Lu et al., "Can ChatGPT boost artistic creation: The need of imaginative intelligence for parallel art," IEEE/CAA J. Autom. Sinica, vol. 10, no. 4, pp. 835–838, 2023. doi: 10.1109/JAS.2023.123555
[42]	F. -Y. Wang, Q. Miao et al., "When does Sora show: The beginning of TAO to imaginative intelligence and scenarios engineering," IEEE/CAA J. Autom. Sinica, vol. 11, no. 4, pp. 809–815, 2024. doi: 10.1109/JAS.2024.124383
[43]	X. Li, P. Ye et al., "From features engineering to scenarios engineering for trustworthy AI: I & I, C & C, and V & V," IEEE Intell. Syst. , vol. 37, no. 4, pp. 18–26, 2022. doi: 10.1109/MIS.2022.3197950
[44]	J. Lu, X. Wang et al., "Parallel factories for smart industrial operations: From big AI models to field foundational models and scenarios engineering," IEEE/CAA J. Autom. Sinica, vol. 9, no. 12, pp. 2079–2086, 2022. doi: 10.1109/JAS.2022.106094
[45]	X. Li, R. Song et al., "Development and testing of advanced driver assistance systems through scenario-based systems engineering," IEEE Trans. Intell. Veh. , vol. 8, no. 8, pp. 3968–3973, 2023. doi: 10.1109/TIV.2023.3297168
[46]	X. Li, Q. Miao et al., "Sora for senarios engineering of intelligent vehicles: V & V, C & C, and beyonds," IEEE Trans. Intell. Veh. , vol. 9, no. 2, pp. 3117–3122, 2024. doi: 10.1109/TIV.2024.3379989
[47]	L. Li, Y. Lin et al., "Simulation driven AI: From artificial to actual and vice versa," IEEE Intell. Syst. , vol. 38, no. 1, pp. 3–8, 2023. doi: 10.1109/MIS.2023.3235676
[48]	F. -Y. Wang and G. N. Saridis, "A coordination theory for intelligent machines," Automatica, vol. 26, no. 5, pp. 833–844, 1990. doi: 10.1016/0005-1098(90)90001-X

Supplements(0)

Cited By

Proportional views

Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Figures(4)

Get Citation

PDF

XML

Article Metrics

Article views (251) PDF downloads(127)

Highlights

Designs safe controls in nonlinear systems using direct data
Uses a minimum-variance approach for enhanced safety and reduced risk
Shows effectiveness through simulations and autonomous vehicle tests

Automation 5.0: The Key to Systems Intelligence and Industry 5.0

doi: 10.1109/JAS.2024.124635

References

Proportional views

Catalog

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Highlights

Export File

Citation

Format

Content