多机协同智能发展战略研究  

Collaborative Multiple Autonomous Systems

作　　者：薛建儒[1,2] 房建武 吴俊 庞善民[4] 郑南宁[1,2] Xue Jianru;Fang Jianwu;Wu Jun;Pang Shanmin;Zheng Nanning(Institute of Artificial Intelligence and Robotics,Xi’an Jiaotong University,Xi’an 710049,China;National Key Laboratory of Human‒Machine Hybrid Augmented Intelligence,Xi’an 710049,China;College of Control Science and Engineering,Zhejiang University,Hangzhou 310027,China;School of Software Engineering,Xi’an Jiaotong University,Xi’an 710049,China)

机构地区：[1]西安交通大学人工智能与机器人研究所,西安710049 [2]人机混合增强智能全国重点实验室,西安710049 [3]浙江大学控制科学与工程学院,杭州310027 [4]西安交通大学软件学院,西安710049

出　　处：《中国工程科学》2024年第1期101-116,共16页Strategic Study of CAE

基　　金：中国工程院咨询项目“新一代人工智能及产业集群发展战略研究”(2022-PP-07);国家自然科学基金重点项目(62036008)。

摘　　要：多个自主智能系统通过信息、行为交互构成的多机协同智能,代表着未来智能系统的必然发展趋势,是我国新一代人工智能规划部署的主攻方向,也是支撑国防、社会安全的核心技术和推动制造业由大到强的必由之路。开展突破多机协同智能技术发展研究,对于推动我国军事智能、智能产业高质量发展、加快工业转型升级具有重要意义。本文基于多机协同智能系统当前面临的难以适应复杂任务这一挑战,从基础理论和核心关键技术两个层面出发,系统地梳理了多机协同智能的研究现状,分析了制约基础理论与关键技术发展的主要瓶颈性问题,并以多机协同智能制造为典型应用,剖析理论与技术发展中存在的问题。研究认为,多机协同智能将朝着人机群组智能的方向发展,为抢占发展先机,需及早布局人机群组智能的基础理论探索,加速核心技术突破,并加快应用示范。Collaborative intelligence formed via information and behavioral interactions of multiple autonomous systems is an inevitable trend of future intelligent systems.It is a focus of planning of the next-generation artificial intelligence in China and is crucial for supporting national security and strengthening the manufacturing industry.Research aimed at overcoming bottlenecks regarding collaborative multiple autonomous systems will significantly aid the advancement of intelligent industries and accelerate industrial transformation and upgrading in China.Focusing on the challenge that collaborative multiple autonomous systems cannot adapt to complex tasks,this study thoroughly analyzes the research status and major bottlenecks of collaborative multiple autonomous systems from the aspects of fundamental research and engineering.Using multi-robot collaborative intelligent manufacturing as an example,we provide an in-depth analysis of relevant theoretic and technical problems.Our research indicates that collaborative multiple autonomous systems will inevitably evolve toward human‒machine teaming.To master this opportunity,it is critical to proactively lay the groundwork for the theoretical exploration and technological breakthroughs of human‒machine teaming and to conduct exemplary applications.

关 键 词：多机协同智能 集群智能 人机群组智能 多机协同制造 全域感知 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]