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Learning and planning for Mars Rover science

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dc.contributor.author Estlin, T. en_US
dc.contributor.author Castano, R. en_US
dc.contributor.author Anderson, R. en_US
dc.contributor.author Gaines, D. en_US
dc.contributor.author Fisher, F. en_US
dc.contributor.author Judd, M. en_US
dc.date.accessioned 2004-09-16T23:07:25Z
dc.date.available 2004-09-16T23:07:25Z
dc.date.issued 2003-08-11 en_US
dc.identifier.citation Workshop on Issues in Designing Physical Agents for Dynamic Real-Time Environment en_US
dc.identifier.citation Acapulco, Mexico en_US
dc.identifier.clearanceno 03-1202 en_US
dc.identifier.uri http://hdl.handle.net/2014/7379
dc.description.abstract In this paper, we describe the OASIS system, which provides autonomous capabilities for dynamically pursuing these science-collection opportunities during long-range rover traverses. en_US
dc.format.extent 3577690 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other data analysis planning autonomous rover operations en_US
dc.title Learning and planning for Mars Rover science en_US


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