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Volume 11 Issue 6
Jun.  2024

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2024  >  11(6): 1313-1316
T. Shen, J. Sun, S. Kong, Y. Wang, J. Li, X. Li, and F.-Y. Wang, "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, Jun. 2024. doi: 10.1109/JAS.2024.124407
Citation: T. Shen, J. Sun, S. Kong, Y. Wang, J. Li, X. Li, and F.-Y. Wang, "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, Jun. 2024. doi: 10.1109/JAS.2024.124407
shu

The Journey/DAO/TAO of Embodied Intelligence: From Large Models to Foundation Intelligence and Parallel Intelligence

doi: 10.1109/JAS.2024.124407
  • 1.

    College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China

  • 2.

    School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China

  • 3.

    State Key Laboratory for Turbulence and Complex Systems, Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing 100871, China

  • 4.

    State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

  • 5.

    Peng Cheng Laboratory, Shenzhen 518000, China

  • 6.

    State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences, Beijing 100190

  • 7.

    Faculty of Innovation Engineering, Macau University of Science and Technology, Macau 999078, China

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    References(31)
  • [1]
    Y. Wang, X. Wang, X. Wang, J. Yang, O. Kwan, L. Li, and F. -Y. Wang, "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
    [2]
    Y. Tian, X. Li, H. Zhang, C. Zhao, B. Li, X. Wang, X. Wang, and F. -Y. Wang, "VistaGPT: Generative parallel Transformers for vehicles with intelligent systems for transport automation," IEEE Transactions on Intelligent Vehicles, vol. 8, no. 9, pp. 4198–4207, 2023. doi: 10.1109/TIV.2023.3307012
    [3]
    F. -Y. Wang, Q. Miao, X. Li, X. Wang, and Y. Lin, "What does ChatGPT say: The DAO from algorithmic intelligence to linguistic intelligence," IEEE/CAA J. Autom. Sinica, vol. 10, no. 3, pp. 575–579, 2023. doi: 10.1109/JAS.2023.123486
    [4]
    Y. Cui, S. Huang, J. Zhong, Z. Liu, Y. Wang, C. Sun, B. Li, X. Wang, and A. Khajepour, "Drivellm: Charting the path toward full autonomous driving with large language models," IEEE Transactions on Intelligent Vehicles, vol. 9, no. 1, pp. 1450–1464, 2024. doi: 10.1109/TIV.2023.3327715
    [5]
    D. Jin and L. Zhang, "Embodied intelligence weaves a better future," Nature Machine Intelligence, vol. 2, no. 11, pp. 663–664, 2020. doi: 10.1038/s42256-020-00250-6
    [6]
    A. Turing and J. Haugeland, "Computing machinery and intelligence (p 29-56)," 1950.
    [7]
    A. Brohan, Y. Chebotar, C. Finn, K. Hausman, A. Herzog, D. Ho, J. Ibarz, A. Irpan, E. Jang, R. Julian et al., "Do as I can, not as I say: Grounding language in robotic affordances," in Conference on Robot Learning. PMLR, 2023, pp. 287–318.
    [8]
    D. Shah, B. Osiński, S. Levine et al., "LM-Nav: Robotic navigation with large pre-trained models of language, vision, and action," in Conference on Robot Learning. PMLR, 2023, pp. 492–504.
    [9]
    X. Li, P. Ye, J. Li, Z. Liu, L. Cao, and F. -Y. Wang, "From features engineering to scenarios engineering for trustworthy AI: I & I, C & C, and V & V," IEEE Intelligent Systems, vol. 37, no. 4, pp. 18–26, 2022. doi: 10.1109/MIS.2022.3197950
    [10]
    A. Gupta, S. Savarese, S. Ganguli, and F. -F. Li, "Embodied intelligence via learning and evolution," Nature Communications, vol. 12, no. 1, p. 5721, 2021. doi: 10.1038/s41467-021-25874-z
    [11]
    X. Li, Y. Tian, P. Ye, H. Duan, and F. -Y. Wang, "A novel scenarios engineering methodology for foundation models in metaverse," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 4, pp. 2148–2159, 2022.
    [12]
    Y. Tian, X. Zhang, X. Wang, J. Xu, J. Wang, R. Ai, W. Gu, and W. Ding, "ACF-Net: Asymmetric cascade fusion for 3D detection with lidar point clouds and images," IEEE Transactions on Intelligent Vehicles, pp. 1–12, 2023, doi: 10.1109/TIV.2023.3341223.
    [13]
    F. -Y. Wang, J. Yang, X. Wang, J. Li, and Q. -L. Han, "Chat with ChatGPT on Industry 5.0: Learning and decision-making for intelligent industries," IEEE/CAA J. Autom. Sinica, vol. 10, no. 4, pp. 831–834, 2023. doi: 10.1109/JAS.2023.123552
    [14]
    F. -Y. Wang, "Parallel system methods for management and control of complex systems," Decis. Control, vol. 23, no. 5, pp. 74–76, 2004.
    [15]
    F. -Y. Wang, "Shadow systems: A new concept for nested and embedded co-simulation for intelligent systems," Tucson, Arizona, USA: University of Arizona, 1994.
    [16]
    Y. Shen, Y. Liu, Y. Tian, and X. Na, "Parallel sensing in metaverses: Virtual-real interactive smart systems for "6s" sensing," IEEE/CAA J. Autom. Sinica, vol. 9, no. 12, pp. 2047–2054, 2022. doi: 10.1109/JAS.2022.106115
    [17]
    Y. Liu, Y. Shen, L. Fan, Y. Tian, Y. Ai, B. Tian, Z. Liu, and F. -Y. Wang, "Parallel radars: from digital twins to digital intelligence for smart radar systems," Sensors, vol. 22, no. 24, p. 9930, 2022. doi: 10.3390/s22249930
    [18]
    X. Li, K. Wang, X. Gu, F. Deng, and F. -Y. Wang, "Paralleleye pipeline: An effective method to synthesize images for improving the visual intelligence of intelligent vehicles," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 9, pp. 5545–5556, 2023. doi: 10.1109/TSMC.2023.3273896
    [19]
    Q. Wei, H. Li, and F. -Y. Wang, "Parallel control for continuous-time linear systems: A case study," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 919–928, 2020. doi: 10.1109/JAS.2020.1003216
    [20]
    J. Lu, Q. Wei, and F. -Y. Wang, "Parallel control for optimal tracking via adaptive dynamic programming," IEEE/CAA J. Autom. Sinica, vol. 7, no. 6, pp. 1662–1674, 2020. doi: 10.1109/JAS.2020.1003426
    [21]
    X. Wang, J. Yang, J. Han, W. Wang, and F. -Y. Wang, "Metaverses and demetaverses: From digital twins in CPS to parallel intelligence in CPSS," IEEE Intelligent Systems, vol. 37, no. 4, pp. 97–102, 2022. doi: 10.1109/MIS.2022.3196592
    [22]
    Z. Wang, C. Lv, and F. -Y. Wang, "A new era of intelligent vehicles and intelligent transportation systems: Digital twins and parallel intelligence," IEEE Transactions on Intelligent Vehicles, vol. 8, no. 4, pp. 2619–2627, 2023. doi: 10.1109/TIV.2023.3264812
    [23]
    Q. Miao, Y. Lv, M. Huang, X. Wang, and F. -Y. Wang, "Parallel learning: Overview and perspective for computational learning across syn2real and sim2real," IEEE/CAA J. Autom. Sinica, vol. 10, no. 3, pp. 603–631, 2023. doi: 10.1109/JAS.2023.123375
    [24]
    L. Li, Y. Lin, N. Zheng, and F. -Y. Wang, "Parallel learning: A perspective and a framework," IEEE/CAA J. Autom. Sinica, vol. 4, no. 3, pp. 389–395, 2017. doi: 10.1109/JAS.2017.7510493
    [25]
    F. -Y. Wang and Y. Wang, "Digital scientists and parallel sciences: The origin and goal of AI for science and science for AI," Bulletin of Chinese Academy of Sciences, vol. 39, no. 1, pp. 27–33, 2024.
    [26]
    F. -Y. Wang, "The DAO to metacontrol for metasystems in metaverses: The system of parallel control systems for knowledge automation and control intelligence in CPSS," IEEE/CAA J. Autom. Sinica, vol. 9, no. 11, pp. 1899–1908, 2022. doi: 10.1109/JAS.2022.106022
    [27]
    F. -Y. Wang, "The metaverse of mind: Perspectives on DeSci for DeEco and DeSoc," IEEE/CAA J. Autom. Sinica, vol. 9, no. 12, pp. 2043–2046, 2022. doi: 10.1109/JAS.2022.106106
    [28]
    J. Yang, X. Wang, and Y. Zhao, "Parallel manufacturing for industrial metaverses: A new paradigm in smart manufacturing," IEEE/CAA J. Autom. Sinica, vol. 9, no. 12, pp. 2063–2070, 2022. doi: 10.1109/JAS.2022.106097
    [29]
    F. -Y. Wang, "New control paradigm for Industry 5.0: From big models to foundation control and management," IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1643–1646, 2023. doi: 10.1109/JAS.2023.123768
    [30]
    J. Li, X. Liang, R. Qin, and F. Wang, "From DAO to TAO: Finding the essence of decentralization," in 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2023), 2023, pp. 1–4.
    [31]
    J. Li and F. -Y. Wang, "The TAO of blockchain intelligence for intelligent web 3.0," IEEE/CAA J. Autom. Sinica, vol. 10, no. 12, pp. 2183–2186, 2023. doi: 10.1109/JAS.2023.124056
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    Highlights

    • A novel kernel framework of embodied intelligence
    • The correspondence between embodied intelligence and parallel intelligence
    • The Journey/DAO/TAO and prospects of embodied intelligence

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