摘要
新一代人工智能技术的深度融合引发了制造业的大变革,其中基于人机物协同的人机混合增强智能展现出越来越大的潜力.针对这一背景,文中分析了智能制造系统中人机协同的相关研究,从人机建模、人机交互模式、人机界面设计和人机共享控制等几个方面回顾了面向集群自主系统的人机混合增强智能的关键理论和方法,总结了其可能存在的问题和未来可能的解决方案.希望能为相关研究提供启发和参考.
Manufacturing has seen a huge revolution due to the development of the new generation of artificial intelligence technologies,and the human-machine hybrid intelligence based on human-machine-object coordination has great potentials.In this context,this paper analyze studies on human-machine coordination in intelligent manufacturing systems,and reviews key theories and methods and theire possible limitations and future solutions of human-machine hybrid intelligence for autonomous system swarms from perspectives of human and machine modelling,human-machine interaction,human-machine interface design,and human-machine shared control.We hope to provide useful inspirations and references for related researches.
作者
黄捷
陈宇韬
郑松
HUANG Jie;CHEN Yutao;ZHENG Song(Key Laboratory of Industrial Automation Control Technology and Information Processing,College of Electrical Engineering and Automation,Fuzhou University,Fuzhou,Fujian 350108,China)
出处
《福州大学学报(自然科学版)》
CAS
北大核心
2021年第5期666-680,共15页
Journal of Fuzhou University(Natural Science Edition)
基金
国家自然科学基金资助项目(61603094)
中国工程科技发展战略福建研究院咨询项目(2019-FJ-XY-8)。
关键词
自主系统
人机混合增强智能
人机交互与协同
新一代人工智能
智能制造
autonomous system
human-machine hybrid intelligence
human-machine interaction and coordination
new generation artificial intelligence
intelligent manufacturing