When Embodied AI Meets Industry 5.0: Human-Centered Smart Manufacturing

被引:0
|
作者
Xu, Jing [1 ]
Sun, Qiyu [1 ]
Han, Qing-Long [2 ]
Tang, Yang [1 ]
机构
[1] East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China
[2] Swinburne Univ Technol, Sch Sci Comp & Engn Technol, Hawthorn, Vic 3122, Australia
基金
中国国家自然科学基金;
关键词
Training; Productivity; Manufacturing industries; Cloud computing; Job shop scheduling; Large language models; Collaboration; Smart systems; Fifth Industrial Revolution; Smart manufacturing; Embodied AI; human-centered manufacturing; Industry; 5.0; internet of things; large multi-mode language models; INTERNET; COMMUNICATION; FUTURE; THINGS; MODEL;
D O I
10.1109/JAS.2025.125327
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As embodied intelligence (EI), large language models (LLMs), and cloud computing continue to advance, Industry 5.0 facilitates the development of industrial artificial intelligence (IndAI) through cyber-physical-social systems (CPSSs) with a human-centric focus. These technologies are organized by the system-wide approach of Industry 5.0, in order to empower the manufacturing industry to achieve broader societal goals of job creation, economic growth, and green production. This survey first provides a general framework of smart manufacturing in the context of Industry 5.0. Wherein, the embodied agents, like robots, sensors, and actuators, are the carriers for IndAI, facilitating the development of the self-learning intelligence in individual entities, the collaborative intelligence in production lines and factories (smart systems), and the swarm intelligence within industrial clusters (systems of smart systems). Through the framework of CPSSs, the key technologies and their possible applications for supporting the single-agent, multi-agent and swarm-agent embodied IndAI have been reviewed, such as the embodied perception, interaction, scheduling, multi-mode large language models, and collaborative training. Finally, to stimulate future research in this area, the open challenges and opportunities of applying Industry 5.0 to smart manufacturing are identified and discussed. The perspective of Industry 5.0-driven manufacturing industry aims to enhance operational productivity and efficiency by seamlessly integrating the virtual and physical worlds in a human-centered manner, thereby fostering an intelligent, sustainable, and resilient industrial landscape.
引用
收藏
页码:485 / 501
页数:17
相关论文
共 50 条
  • [1] When Embodied AI Meets Industry 5.0:Human-Centered Smart Manufacturing
    Jing Xu
    Qiyu Sun
    QingLong Han
    Yang Tang
    IEEE/CAA Journal of Automatica Sinica, 2025, 12 (03) : 485 - 501
  • [2] Human-Centered AI in Smart Farming: Toward Agriculture 5.0
    Holzinger, Andreas
    Fister Jr, Iztok
    Fister Sr, Iztok
    Kaul, Hans-Peter
    Asseng, Senthold
    IEEE ACCESS, 2024, 12 : 62199 - 62214
  • [3] Challenges of Human-Centered Manufacturing in the Aspect of Industry 5.0 Assumptions
    Pizon, Jakub
    Witczak, Marcin
    Gola, Arkadiusz
    Swic, Antoni
    IFAC PAPERSONLINE, 2023, 56 (02): : 156 - 161
  • [4] When AI meets additive manufacturing: Challenges and emerging opportunities for human-centered products development
    Liu, Chenang
    Tian, Wenmeng
    Kan, Chen
    JOURNAL OF MANUFACTURING SYSTEMS, 2022, 64 : 648 - 656
  • [5] A Framework for Integrating AI into Engineering Education, Empowering Human-Centered Approach for Industry 5.0
    Balart, Trini
    Shryock, Kristi J.
    2024 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE, EDUCON 2024, 2024,
  • [6] The MAS4AI framework for human-centered agile and smart manufacturing
    Sidorenko, Aleksandr
    Motsch, William
    van Bekkum, Michael
    Nikolakis, Nikolaos
    Alexopoulos, Kosmas
    Wagner, Achim
    FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2023, 6
  • [7] Editorial: Human-Centered Artificial Intelligence in Industry 5.0
    Mentzas, Gregoris
    Hribernik, Karl
    Stahre, Johan
    Romero, David
    Soldatos, John
    FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2024, 7
  • [8] Knowledge Graph-Based Framework to Support Human-Centered Collaborative Manufacturing in Industry 5.0
    Nagy, Laszlo
    Abonyi, Janos
    Ruppert, Tamas
    APPLIED SCIENCES-BASEL, 2024, 14 (08):
  • [9] A safety management approach for Industry 5.0?s human-centered manufacturing based on digital twin
    Wang, Haoqi
    Lv, Lindong
    Li, Xupeng
    Li, Hao
    Leng, Jiewu
    Zhang, Yuyan
    Thomson, Vincent
    Liu, Gen
    Wen, Xiaoyu
    Sun, Chunya
    Luo, Guofu
    JOURNAL OF MANUFACTURING SYSTEMS, 2023, 66 : 1 - 12
  • [10] Industry 5.0 and Human-Centered Approach. Bibliometric Review
    Ruiz-de-la-Torre, Aitor
    Rio-Belver, Rosa M.
    Guevara-Ramirez, Wilmer
    Merlo, Christophe
    IOT AND DATA SCIENCE IN ENGINEERING MANAGEMENT, 2023, 160 : 402 - 408