IN011
Autonomy for Future NASA Earth and Space Science Missions

Session ID#: 82476

Session Description:
Recent advances in on-board computing, machine learning, and artificial intelligence have the potential to revolutionize future autonomous systems for spacecraft. NASA's Science Mission Directorate recently held a workshop to discuss opportunities that might arise through such advancements and to envision what new types of missions might be crafted in the future. Participants discussed specific emerging autonomy technologies becoming viable in the next 10-20 years that could enable or enhance mission capabilities, reduce mission risk and cost, and potential collaborations or partnerships involving government, industry, and academia that could be beneficial. We will discuss these and other mission concepts that might result from investments in advanced autonomy and where the gaps currently exist. 
Index Terms:

1918 Decision analysis [INFORMATICS]
1942 Machine learning [INFORMATICS]
1958 Ontologies [INFORMATICS]
1966 Rules and logic [INFORMATICS]

Primary Convener:  Michael S Seablom, NASA Headquarters, Washington, DC, United States
Conveners:  Florence Tan, NASA Headquarters, Science Missions Directorate, Washington, DC, United States and Terry Fong, NASA Ames Research Center, Moffett Field, CA, United States
Primary Liaison:  Florence Tan, NASA Headquarters, Science Missions Directorate, Washington, DC, United States
 
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Eric Lyness, NASA Goddard Space Flight Center, Washington, DC, United States, Jennifer L Eigenbrode, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Larry H Matthies, Jet Propulsion Laboratory, Pasadena, United States, Rob Manning, NASA JPL, Pasadena, United States and Jay Falker, NASA HQ, Washington, United States
 
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Larry Kepko, NASA GSFC, Greenbelt, MD, United States, Chun Ming Mark Cheung, Lockheed Martin Solar and Astrophysics Laboratory, Palo Alto, CA, United States and George C Ho, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States
 
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Rebecca Castano1, Thomas A Cwik2, William B McKinnon3, Bill Diamond4, David S Wettergreen5, Jonathan D Weinberg6, Justin Ratner7, Reid Simmons5, Pablo Sobron8, Geronimo L Villanueva9 and David Smyth10, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, Pasadena, SC, United States, (3)Washington Univ, Saint Louis, MO, United States, (4)SETI, Washington, United States, (5)Carnegie Mellon University, Pittsburgh, United States, (6)Ball Aerospace & Technologies Corp, Boulder, CO, United States, (7)UC Berkeley, Berkeley, United States, (8)SETI Institute, Mountain View, CA, United States, (9)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (10)Honeybee, Pasadena, United States
 
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Hector Azpurua1, Filipe Rocha Sr.1, Luiz Guilherme Dias de Barros1, Amauri Ferraz1, Philip Pritzelwitz1, Levi Resende1, Alexandre Magno1, Jacô Domingues1, Gustavo Medeiros Freitas2 and Gustavo Pessin1, (1)ITV Instituto Tecnológico Vale, Robotics Lab, Ouro Preto, Brazil, (2)Universidade Federal de Minas Gerais UFMG, Belo Horizonte, Brazil
 
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Emerson J Speyerer, Arizona State University, School of Earth and Space Exploration, Tempe, AZ, United States, Samuel Lawrence, NASA Johnson Space Center, Astromaterials Research and Exploration Science, Houston, United States and Lunar DRM Team
 
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Timothy D Swindle, University of Arizona, Tucson, AZ, United States, Issa A Nesnas, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and Julie C Castillo-Rogez, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
See more of: Earth and Space Science Informatics
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