JPL Technical Report Server

Learning for autonomous navigation

Show simple item record

dc.contributor.author Angelova, Anelia
dc.contributor.author Howard, Andrew
dc.contributor.author Matthies, Larry
dc.contributor.author Tang, Benyang
dc.contributor.author Turmon, Michael
dc.contributor.author Mjolsness, Eric
dc.date.accessioned 2006-02-13T21:43:36Z
dc.date.available 2006-02-13T21:43:36Z
dc.date.issued 2005-12
dc.identifier.citation Neural Information Processing Systems, Vancouver, Canada, December 8-12, 2005 en
dc.identifier.clearanceno 05-3730
dc.identifier.uri http://hdl.handle.net/2014/38551
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


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search


Browse

My Account