国际空间站
空格(标点符号)
太空探索
计算机科学
空间技术
空间研究
美国宇航局深空网络
火星探测计划
船员
自动化
聚类分析
系统工程
人工智能
数据科学
航天器
航空航天工程
工程类
航空学
物理
操作系统
机械工程
天文
作者
Piyush Pant,Anand Singh Rajawat,S. B. Goyal,Amol D. Potgantwar,Pradeep Bedi,Maria Simona Răboacă,Neagu Bogdan Constantin,Chaman Verma
标识
DOI:10.1109/smart55829.2022.10046956
摘要
Billions of galaxies, stars, solar systems, planets, and other undiscovered mysterious objects are present in the continuously expanding space. Humans took a giant step forward when the International Space Station was deployed into Earth's lower orbit for a better understanding of space. This research focuses of the Artificial Intelligence based technologies that are deployed in the International Space Station and potential models. The study proposes some Machine Learning models and technologies that could be deployed in the International Space Station to increase its efficiency and provide security to the crew. Powerful and trending Machine Learning/Deep Learning Algorithms like ANN and Clustering algorithms are suggested by the paper to get insights from the data gathered from the space and to promote the Industry Automation. A detailed explanation of the requirement, operation, and construction of NASA's “Robonauts” designed for the International Space Station is discussed in the research. The paper also put light on the 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. Investigation on how technologies used in space exploration could be used in the ISS to improve its performance and an overview of some of the existing AI-based technologies deployed in the International Space Station (ISS) is discussed.
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