iCub learns objects

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This video demonstrates an architecture allowing an humanoid robot iCub to learn new objects presented to it. This is done by adding the concept of object to an existent low-level attention system of the robot. When the robot first encounters an unknown object, found to be within a certain (small) distance from its eyes, it stores a cluster of the SIFT visual features present within an interval about that distance, using depth perception. Whenever a previously stored object crosses the robot's field of view again, it is recognized and mapped into an egocentrical frame of reference and gazed at. This mapping is persistent, in the sense that its identification and position are kept even if not visible by the robot. More info at http://mediawiki.isr.ist.utl.pt/wiki/Cognitive_Architectures

Category: Tech
Uploaded: February 14th, 2009 @ 12:30 am
Author: rventura73

Length: 02:00
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Tags: icub humanoid robot cognitive architecture sift egosphere

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