Investigating Habitability with an Integrated Rock-Climbing Robot and Astrobiology Instrument Suite.

Autonomous navigation Extreme terrain Instrument suite Robotic platform Subsurface

Journal

Astrobiology
ISSN: 1557-8070
Titre abrégé: Astrobiology
Pays: United States
ID NLM: 101088083

Informations de publication

Date de publication:
12 2020
Historique:
pubmed: 15 10 2020
medline: 22 9 2021
entrez: 14 10 2020
Statut: ppublish

Résumé

A prototype rover carrying an astrobiology payload was developed and deployed at analog field sites to mature generalized system architectures capable of searching for biosignatures in extreme terrain across the Solar System. Specifically, the four-legged Limbed Excursion Mechanical Utility Robot (LEMUR) 3 climbing robot with microspine grippers carried three instruments: a micro-X-ray fluorescence instrument based on the Mars 2020 mission's Planetary Instrument for X-ray Lithochemistry provided elemental chemistry; a deep-ultraviolet fluorescence instrument based on Mars 2020's Scanning Habitable Environments with Raman and Luminescence for Organics and Chemicals mapped organics in bacterial communities on opaque substrates; and a near-infrared acousto-optic tunable filter-based point spectrometer identified minerals and organics in the 1.6-3.6 μm range. The rover also carried a light detection and ranging and a color camera for both science and navigation. Combined, this payload detects astrobiologically important classes of rock components (elements, minerals, and organics) in extreme terrain, which, as demonstrated in this work, can reveal a correlation between textural biosignatures and the organics or elements expected to preserve them in a habitable environment. Across >10 field tests, milestones were achieved in instrument operations, autonomous mobility in extreme terrain, and system integration that can inform future planetary science mission architectures. Contributions include (1) system-level demonstration of mock missions to the vertical exposures of Mars lava tube caves and Mars canyon walls, (2) demonstration of multi-instrument integration into a confocal arrangement with surface scanning capabilities, and (3) demonstration of automated focus stacking algorithms for improved signal-to-noise ratios and reduced operation time.

Identifiants

pubmed: 33052709
doi: 10.1089/ast.2019.2177
doi:

Substances chimiques

Minerals 0

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1427-1449

Auteurs

Kyle Uckert (K)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA.

Aaron Parness (A)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA.

Nancy Chanover (N)

New Mexico State University, Las Cruces, New Mexico, USA.

Evan J Eshelman (EJ)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA.

Neil Abcouwer (N)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA.

Jeremy Nash (J)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA.

Renaud Detry (R)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA.

Christine Fuller (C)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA.

David Voelz (D)

New Mexico State University, Las Cruces, New Mexico, USA.

Robert Hull (R)

New Mexico State University, Las Cruces, New Mexico, USA.

David Flannery (D)

Queensland University of Technology, Brisbane, Australia.

Rohit Bhartia (R)

Photon Systems, Inc., Covina, California, USA.

Kenneth S Manatt (KS)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA.

William J Abbey (WJ)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA.

Penelope Boston (P)

NASA Astrobiology Institute, Ames Research Center, Mountain View, California, USA.

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