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Artificial intelligence for asteroid proximity exploration research progress and future perspectives
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Jihao YIN1, *, Xiaodong WEI1, Linyan CUI1, Wenjun WU2, Xiaoming ZHANG3, Chuankai LIU4
Journal of Beijing University of Aeronautics and Astronautics | 2026, 52(10) : 3396 - 3407
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Journal of Beijing University of Aeronautics and Astronautics | 2026, 52(10): 3396-3407
Artificial intelligence for asteroid proximity exploration research progress and future perspectives
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Jihao YIN1, *, Xiaodong WEI1, Linyan CUI1, Wenjun WU2, Xiaoming ZHANG3, Chuankai LIU4
Affiliations
  • 1School of Astronautics,Beihang University,Beijing 100191,China
  • 2Institute of Artificial Intelligence,Beihang University,Beijing 100191,China
  • 3National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100101,China
  • 4Beijing Aerospace Control Center,Beijing 100094,China
Published: 2026-10-31 doi: 10.13700/j.bh.1001-5965.2024.0724
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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
尹继豪, 魏晓东, 崔林艳, 吴文峻, 张晓明, 刘传凯. 人工智能赋能小行星抵近探测的研究现状及展望. 北京航空航天大学学报, 2026 , 52 (10) : 3396 -3407 . DOI: 10.13700/j.bh.1001-5965.2024.0724
Jihao YIN, Xiaodong WEI, Linyan CUI, Wenjun WU, Xiaoming ZHANG, Chuankai LIU. Artificial intelligence for asteroid proximity exploration research progress and future perspectives[J]. Journal of Beijing University of Aeronautics and Astronautics, 2026 , 52 (10) : 3396 -3407 . DOI: 10.13700/j.bh.1001-5965.2024.0724
Year 2026 volume 52 Issue 10
38
20
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Article Info
doi: 10.13700/j.bh.1001-5965.2024.0724
  • Receive Date:2024-10-08
  • Online Date:2026-10-30
  • Published:2026-10-31
Article Data
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History
  • Received:2024-10-08
  • Accepted:2024-11-07
Affiliations
    1School of Astronautics,Beihang University,Beijing 100191,China
    2Institute of Artificial Intelligence,Beihang University,Beijing 100191,China
    3National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100101,China
    4Beijing Aerospace Control Center,Beijing 100094,China

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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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