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Current trends in the development of intelligent unmanned autonomous systems

文献类型:期刊论文

作者Zhang T(张涛); Li Q(李清); Zhang ZS(张长水); Liang HW(梁华为); Li P(李平); Wang TM(王田苗); Li S(李硕); Zhu YL(朱云龙); Wu C(吴澄)
刊名Frontiers of Information Technology and Electronic Engineering
出版日期2017
卷号18期号:1页码:68-85
关键词Intelligent unmanned autonomous system Autonomous vehicle Artificial intelligence Robotics Development trend
ISSN号2095-9184
产权排序5
通讯作者张涛
中文摘要Intelligent unmanned autonomous systems are some of the most important applications of artificial intelligence (AI). The development of such systems can significantly promote innovation in AI technologies. This paper introduces the trends in the development of intelligent unmanned autonomous systems by summarizing the main achievements in each technological platform. Furthermore, we classify the relevant technologies into seven areas, including AI technologies, unmanned vehicles, unmanned aerial vehicles, service robots, space robots, marine robots, and unmanned workshops/intelligent plants. Current trends and developments in each area are introduced.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Information Systems ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic
研究领域[WOS]Computer Science ; Engineering
关键词[WOS]URBAN-CHALLENGE ; ROBOT ; ENVIRONMENTS ; SPACE ; SATELLITE ; ENTRY
收录类别SCI ; EI ; CSCD
语种英语
WOS记录号WOS:000394541200006
源URL[http://ir.sia.cn/handle/173321/19878]  
专题沈阳自动化研究所_水下机器人研究室
推荐引用方式
GB/T 7714
Zhang T,Li Q,Zhang ZS,et al. Current trends in the development of intelligent unmanned autonomous systems[J]. Frontiers of Information Technology and Electronic Engineering,2017,18(1):68-85.
APA Zhang T.,Li Q.,Zhang ZS.,Liang HW.,Li P.,...&Wu C.(2017).Current trends in the development of intelligent unmanned autonomous systems.Frontiers of Information Technology and Electronic Engineering,18(1),68-85.
MLA Zhang T,et al."Current trends in the development of intelligent unmanned autonomous systems".Frontiers of Information Technology and Electronic Engineering 18.1(2017):68-85.

入库方式: OAI收割

来源:沈阳自动化研究所

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