Machine Learning for Mars Exploration
- URL: http://arxiv.org/abs/2111.11537v1
- Date: Mon, 22 Nov 2021 21:11:42 GMT
- Title: Machine Learning for Mars Exploration
- Authors: Ali Momennasab
- Abstract summary: A portion of exploration of Mars has been conducted through the autonomous collection and analysis of Martian data by spacecraft such as the Mars rovers and the Mars Express Orbiter.
The autonomy used on these Mars exploration spacecraft and on Earth to analyze data collected by these vehicles mainly consist of machine learning.
Additional applications of machine learning techniques for Mars exploration have potential to resolve communication limitations and human risks of interplanetary exploration.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Risk to human astronauts and interplanetary distance causing slow and limited
communication drives scientists to pursue an autonomous approach to exploring
distant planets, such as Mars. A portion of exploration of Mars has been
conducted through the autonomous collection and analysis of Martian data by
spacecraft such as the Mars rovers and the Mars Express Orbiter. The autonomy
used on these Mars exploration spacecraft and on Earth to analyze data
collected by these vehicles mainly consist of machine learning, a field of
artificial intelligence where algorithms collect data and self-improve with the
data. Additional applications of machine learning techniques for Mars
exploration have potential to resolve communication limitations and human risks
of interplanetary exploration. In addition, analyzing Mars data with machine
learning has the potential to provide a greater understanding of Mars in
numerous domains such as its climate, atmosphere, and potential future
habitation. To explore further utilizations of machine learning techniques for
Mars exploration, this paper will first summarize the general features and
phenomena of Mars to provide a general overview of the planet, elaborate upon
uncertainties of Mars that would be beneficial to explore and understand,
summarize every current or previous usage of machine learning techniques in the
exploration of Mars, explore implementations of machine learning that will be
utilized in future Mars exploration missions, and explore machine learning
techniques used in Earthly domains to provide solutions to the previously
described uncertainties of Mars.
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