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Enhancing science and automating operations using onboard autonomy

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dc.contributor.author Sherwood, Robert
dc.contributor.author Chien, Steve
dc.contributor.author Tran, Daniel
dc.contributor.author Davies, Ashley
dc.contributor.author Castaño, Rebecca
dc.contributor.author Rabideau, Gregg
dc.contributor.author Mandl, Dan
dc.contributor.author Szwaczkowski, Joseph
dc.contributor.author Frye, Stuart
dc.contributor.author Shulman, Seth
dc.date.accessioned 2009-01-27T18:41:43Z
dc.date.available 2009-01-27T18:41:43Z
dc.date.issued 2006-06-19
dc.identifier.citation SpaceOps 2006, Rome, Italy, June 19-23, 2006 en_US
dc.identifier.clearanceno 06-1528
dc.identifier.uri http://hdl.handle.net/2014/41080
dc.description.abstract In this paper, we will describe the evolution of the software from prototype to full time operation onboard Earth Observing One (EO-1). We will quantify the increase in science, decrease in operations cost, and streamlining of operations procedures. Included will be a description of how this software was adapted post-launch to the EO-1 mission, which had very limited computing resources which constrained the autonomy flight software. We will discuss ongoing deployments of this software to the Mars Exploration Rovers and Mars Odyssey Missions as well as a discussion of lessons learned during this project. Finally, we will discuss how the onboard autonomy has been used in conjunction with other satellites and ground sensors to form an autonomous sensor-web to study volcanoes, floods, sea-ice topography, and wild fires. As demonstrated on EO-1, onboard autonomy is a revolutionary advance that will change the operations approach on future NASA missions... en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2006. en_US
dc.subject enhancing science en_US
dc.subject Earth Observing One (EO-1) en_US
dc.subject software systems en_US
dc.title Enhancing science and automating operations using onboard autonomy en_US
dc.type Preprint en_US


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