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 Chaos filter helps robots make sense of the world

This story is from the category Artificial Intelligence
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Date posted: 26/02/2009

University of Oxford researchers have come up with a way for map-building robots to accurately recognize places they have been before, even when objects have moved or are approached from a new angle.

Their FabMap software tackles those problems by having a robot assign a visual "vocabulary" of up to a thousand individual "words" for each scene, every two seconds. That means when the robot revisits a scene that now lacks, say, a bicycle, it notes a single change rather than the disappearance of many smaller features. This the robot is more likely to recognise the scene as familiar.

See the full Story via external site: www.newscientist.com



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