文献类型：期刊文献

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

作者：Jing Xu[1,2];Qiyu Sun[2];Qing-Long Han[1,3];Yang Tang[1,2]

机构：[1]IEEE;[2]the Key Laboratory of Smart Manufacturing in Energy Chemical Process,Ministry of Education,East China University of Science and Technology,Shanghai 200237,China;[3]the School of Science,Computing and Engineering Technologies,Swinburne University of Technology,Hawthorn VIC 3122,Australia

年份：2025

卷号：12

期号：3

起止页码：485

中文期刊名：IEEE/CAA Journal of Automatica Sinica

外文期刊名：自动化学报(英文版)

基金：supported by the National Key Research and Development Program of China(2021YFB1714300);the National Natural Science Foundation of China(62233005,U2441245,62173141);CNPC Innovation Found(2024DQ02-0507);Shanghai Natural Science(24ZR1416400);Shanghai Baiyu Lan Talent Program Pujiang Project(24PJD020);the Programme of Introducing Talents of Discipline to Universities(the 111 Project)(B17017)

语种：英文

中文关键词：Embodied AI;human-centered manufacturing;Industry 5.0;internet of things;large multi-mode language models

摘要：As embodied intelligence(EI),large language models(LLMs),and cloud computing continue to advance,Industry5.0 facilitates the development of industrial artificial intelligence(Ind AI)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 Ind AI,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 Ind AI 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.