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Learning to predict slip for ground robotsIn this paper we predict the amount of slip an exploration rover would experience using stereo imagery by learning from previous examples of traversing similar terrain. To do that, the information of terrain appearance and geometry regarding some location is correlated to the slip measured by the rover while this location is being traversed. This relationship is learned from previous experience, so slip can be predicted later at a distance from visual information only.
Document ID
20060043789
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
Authors
Angelova, Anelia
Matthies, Larry
Helmick, Daniel
Sibley, Gabe
Perona, Pietro
Date Acquired
August 23, 2013
Publication Date
January 1, 2006
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Distribution Limits
Public
Copyright
Other
Keywords
robots
slip prediction

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