IEEE/CAA Journal of Automatica Sinica
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 |
[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?"
|
[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
|