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Learning for autonomous navigationAutonomous 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.
Document ID
20060043514
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
hdl:2014/38551
Authors
Angelova, Anelia
Howard, Andrew
Matthies, Larry
Tang, Benyang
Turmon, Michael
Mjolsness, Eric
Date Acquired
August 23, 2013
Publication Date
December 1, 2005
Meeting Information
Meeting: Neural Information Processing Systems
Location: Vancouver, British Columbia
Country: Canada
Start Date: December 8, 2005
End Date: December 12, 2005
Distribution Limits
Public
Copyright
Other
Keywords
robotics
learning
navigation

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