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Robotic astrobiology – prospects for enhancing scientific productivity of mars rover missions

Published online by Cambridge University Press:  31 July 2017

A. A. Ellery
A. A. Ellery*
Affiliation:
Department of Mechanical & Aerospace Engineering, Carleton University, Ottawa, ON K1S 5B6, Canada
*
e-mail: aellery@mae.carleton.ca
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Abstract

Robotic astrobiology involves the remote projection of intelligent capabilities to planetary missions in the search for life, preferably with human-level intelligence. Planetary rovers would be true human surrogates capable of sophisticated decision-making to enhance their scientific productivity. We explore several key aspects of this capability: (i) visual texture analysis of rocks to enable their geological classification and so, astrobiological potential; (ii) serendipitous target acquisition whilst on the move; (iii) continuous extraction of regolith properties, including water ice whilst on the move; and (iv) deep learning-capable Bayesian net expert systems. Individually, these capabilities will provide enhanced scientific return for astrobiology missions, but together, they will provide full autonomous science capability.

Keywords

autonomous scienceMars roversrobotic astrobiology
Type
Research Article
Information
International Journal of Astrobiology , Volume 17 , Special Issue 3: Robotic Astrobiology , July 2018 , pp. 203 - 217
Copyright
Copyright © Cambridge University Press 2017 

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