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Automating stowage operations for the International Space Station

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dc.contributor.author Knight, Russell
dc.contributor.author Rabideau, Gregg
dc.contributor.author Mishkin, Andrew
dc.contributor.author Lee, Young
dc.date.accessioned 2013-11-11T20:02:54Z
dc.date.available 2013-11-11T20:02:54Z
dc.date.issued 2013-03-25
dc.identifier.citation International Workshop on Planning and Scheduling for Space, Moffet Field, Califonia, March 25, 2013. en_US
dc.identifier.clearanceno 13-1361
dc.identifier.uri http://hdl.handle.net/2014/43992
dc.description.abstract A challenge for any proposed mission is to demonstrate convincingly that the proposed systems will in fact deliver the science promised. Funding agencies and mission design personnel are becoming ever more skeptical of the abstractions that form the basis of the current state of the practice with respect to approximating science return. To address this, we have been using automated planning and scheduling technology to provide actual coverage campaigns that provide better predictive performance with respect to science return for a given mission design and set of mission objectives given implementation uncertainties. Specifically, we have applied an adaptation of ASPEN and SPICE to the Eagle-Eye domain that demonstrates the performance of the mission design with respect to coverage of science imaging targets that address climate change and disaster response. Eagle-Eye is an Earth-imaging telescope that has been proposed to fly aboard the International Space Station (ISS). 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, 2013. en_US
dc.subject International Space Station en_US
dc.subject box packing en_US
dc.subject stowage en_US
dc.subject operations planning en_US
dc.title Automating stowage operations for the International Space Station en_US
dc.type Preprint en_US


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