人工智能赋能小行星抵近探测的研究现状及展望

尹继豪; 魏晓东; 崔林艳; 吴文峻; 张晓明; 刘传凯

doi:10.13700/j.bh.1001-5965.2024.0724

人工智能赋能小行星抵近探测的研究现状及展望

doi: 10.13700/j.bh.1001-5965.2024.0724

1.
北京航空航天大学宇航学院，北京 100191
2.
北京航空航天大学人工智能研究院，北京 100191
3.
中国科学院国家天文台，北京 100101
4.
北京航天飞行控制中心，北京 100094

基金项目:

国家科技重大专项(2022ZD0117402)

详细信息

通讯作者:
E-mail： jihaoyin@buaa.edu.cn

中图分类号: P185.7；V57
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- 文章访问数: 542
- HTML全文浏览量: 160
- PDF下载量: 48
- 被引次数: 0
出版历程
- 收稿日期: 2024-10-08
- 录用日期: 2024-11-07
- 网络出版日期: 2024-11-29
- 整期出版日期: 2026-10-01

Artificial intelligence for asteroid proximity exploration research progress and future perspectives

1.
School of Astronautics，Beihang University，Beijing 100191，China
2.
Institute of Artificial Intelligence，Beihang University，Beijing 100191，China
3.
National Astronomical Observatories，Chinese Academy of Sciences，Beijing 100101，China
4.
Beijing Aerospace Control Center，Beijing 100094，China

Funds:

National Science and Technology Major Project (2022ZD0117402)

More Information

Corresponding author: E-mail: jihaoyin@buaa.edu.cn

摘要

摘要:
小行星已成为深空探测领域的主要目标之一。围绕小行星抵近探测安全、高效处置的需求，综述了主要航天强国面向小行星抵近探测的人工智能(AI)技术应用及设想。从深空环境智能感知、智能规划及决策2个方面梳理了当前的研究进展，分析了当前人工智能技术应用于小行星抵近探测任务中面临的模型可靠性难以度量、未知环境适应性不足、星载计算资源受限等难点与挑战。结合中国未来的小行星抵近探测任务和行星防御系统构建任务，探讨和展望小行星抵近探测中人工智能技术的未来发展方向与应用趋势。
- 小行星探测 /
- 行星防御 /
- 人工智能 /
- 智能感知 /
- 智能决策
Abstract:
One of the main goals of deep space exploration is asteroid exploration, which has great scientific significance. Faced with the challenges of long distances and limited knowledge of asteroid exploration targets, the rapidly evolving technology of artificial intelligence (AI) has emerged as a promising complement to existing space mission implementation paradigms. In addition to introducing the current state of research on the application of AI methods in asteroid exploration, this paper analyzes the methods of AI systems used in space exploration missions and asteroid ground observation systems. It also summarizes the challenges that these methods face. It also proposes key technologies with developmental potential for asteroid exploration.
- asteroid exploration /
- planetary defense /
- artificial intelligence /
- intelligent sensing /
- intelligent control

HTML全文

图 1 21世纪已实施的小行星抵近探测活动

Figure 1. Asteroids proximity exploration missions implemented in the 21th century

下载: 全尺寸图片幻灯片

图 2 小行星采样返回任务典型过程

Figure 2. Typical procedure for an asteroid sample-return mission

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图 3 ANTS实施小行星探测构想

Figure 3. Concept of ANTS for asteroids exploration

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图 4 SMART Nav基于光学影像实现对Dimorphos小行星撞击的引导

Figure 4. SMART Nav system utilizes optical imaging for navigation to Dimorphos

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表 1 小行星探测中人工智能技术的发展趋势

Table 1. Evolutionary trends of AI techniques for asteroids exploration

技术领域	大规模预训练模型	可信人工智能	内嵌数理知识的人工智能	具身化智能
发展方向	实现多样数据和任务的协同促进，形成小行星特性反演的通用智能范式	实现人工智能模型的稳定可靠、增强人工智能使用信心	引入数理规律先验知识，实现可控、可信的环境感知	支持智能模型向真实物理世界迁移，实现智能模型决策和应变能力提升
实现目标	提升智能模型性能	增强智能方法可靠性	提高深空未知环境下的适应性	提高深空未知环境下的适应性

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