Study of AI and ML Based Technologies used in International Space Station

Piyush Pant, Anand Singh Rajawat
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引用次数: 1

Abstract

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).
基于AI和ML的国际空间站技术研究
在不断膨胀的太空中有数十亿个星系、恒星、太阳系、行星和其他未被发现的神秘物体。当国际空间站被部署到地球较低的轨道上进行研究并更好地了解太空环境时,人类在探索这样一个三维黑盒子方面迈出了一大步。以前的出版物讨论了如何利用人工智能来探索太空和识别可居住的世界。本文介绍了国际空间站中使用的一些基于人工智能的技术,这是未来空间探索的关键组成部分。该研究还着眼于可能部署在国际空间站上的人工智能技术,以提高其效率并为机组人员提供安全保障。该研究包括对NASA为国际空间站设计的“机器人宇航员”的要求、操作和建造的全面解释。论文还提到了小行星探测系统ATLAS。还着重介绍了向机组人员提供医疗援助、碎片及其影响、分析数据和利用机器学习从空间研究数据中提取见解的方法。本研究调查了如何将空间探索中使用的技术用于国际空间站以提高其性能,并概述了国际空间站(ISS)中使用的一些现有基于人工智能的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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