SIA OpenIR  > 空间自动化技术研究室
深空探测人工智能技术研究与展望
Alternative TitleDevelopment and Trend of Artificial Intelligent in Deep Space Exploration
于登云1; 张哲2; 泮斌峰3; 刘传凯4; 丁亮5; 朱继宏3; 高海波5; 刘金国6; 陈鹏7
Department空间自动化技术研究室
Source Publication深空探测学报
ISSN2095-7777
2020
Volume7Issue:1Pages:11-23
Contribution Rank6
Funding Organization国家自然科学基金资助项目( 11672234)
Keyword深空探测 驻留与资源开发 人工智能 机器人
Abstract

面对深空探测远距离、极端环境等带来的一系列挑战,人工智能技术将成为以月球/行星驻留科学探测与资源开发利用为主体的未来深空探测任务的研究重点。在总结分析深空探测人工智能技术发展历程与态势的基础上,分析了深空探测人工智能技术的主要特点,并提出了需重点发展的关键技术。

Other Abstract

Due to the long distance between the earth and the planetary and the extreme environment, artificial intelligence technology will be the focus in the future deep space exploration mission, particularly for the task of the lunar/planetary residence and the exploitation and utilization of planetary resources. Based on the retrospection of the development of the applications of artificial intelligence in deep space missions, several key technology fields for future artificial intelligence technology in deep space exploration activities are proposed.

Language中文
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/26740
Collection空间自动化技术研究室
Corresponding Author于登云
Affiliation1.中国航天科技集团有限公司
2.探月与航天工程中心
3.西北工业大学航天学院
4.北京航天飞行控制中心
5.哈尔滨工业大学机电工程学院
6.中国科学院沈阳自动化研究所
7.上海航天技术研究院北京研发中心
Recommended Citation
GB/T 7714
于登云,张哲,泮斌峰,等. 深空探测人工智能技术研究与展望[J]. 深空探测学报,2020,7(1):11-23.
APA 于登云.,张哲.,泮斌峰.,刘传凯.,丁亮.,...&陈鹏.(2020).深空探测人工智能技术研究与展望.深空探测学报,7(1),11-23.
MLA 于登云,et al."深空探测人工智能技术研究与展望".深空探测学报 7.1(2020):11-23.
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