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Learning for autonomous navigation

Show simple item record Angelova, Anelia Howard, Andrew Matthies, Larry Tang, Benyang Turmon, Michael Mjolsness, Eric 2006-02-13T21:43:36Z 2006-02-13T21:43:36Z 2005-12
dc.identifier.citation Neural Information Processing Systems, Vancouver, Canada, December 8-12, 2005 en
dc.identifier.clearanceno 05-3730
dc.description.abstract Autonomous off-road navigation of robotic ground vehicles has important applications on Earth and in space exploration. Progress in this domain has been retarded by the limited lookahead range of 3-D sensors and by the difficulty of preprogramming systems to understand the traversability of the wide variety of terrain they can encounter. en
dc.description.sponsorship NASA en
dc.format.extent 961255 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2005. en
dc.subject robotics en
dc.subject navigation en
dc.subject learning en
dc.title Learning for autonomous navigation en
dc.type Preprint en

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