国际空间站
空格(标点符号)
太空探索
船员
空间技术
计算机科学
系统工程
空间科学
美国宇航局深空网络
航天器
空间研究
航空航天工程
工程类
航空学
操作系统
作者
Piyush Pant,Anand Singh Rajawat
标识
DOI:10.58260/j.iet.2202.0102
摘要
There are billions of galaxies, stars, solar systems, planets, and other undiscovered mysterious objects in expanding space. Humans took a giant step forward in exploring such a three-dimensional dark box when the International Space Station was deployed into Earth's lower orbit for study and to better understand the environment of space. Previous publications have discussed how artificial intelligence is being utilized to explore space and identify habitable worlds. This paper describes some of the AI-based technologies that are employed in the International Space Station, which is a key component of future space exploration. The study also looks at AI technologies that might be deployed on the International Space Station to increase its efficiency and provide security to the crew. The study includes a full explanation of the requirement, operation, and construction of NASA's "Robonauts" designed for the International Space Station. The paper also mentions ATLAS, an asteroid detecting system. The methods for providing medical aid to the crew, debris and its influence, analyzing data and extracting insight from space research data using machine learning are also highlighted. This study investigates how technology used in space exploration could be used to the ISS to improve its performance and provides an overview of some of the existing AI-based technologies utilized in the International Space Station (ISS).
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