Melodi Deniz Ozturk

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In tabletop construction scenarios, robots work with vertically or horizontally stacked object structures. In order to form such structures, they need to recognize and correctly model closely placed objects in such structures. Depending on the robot's point of view and the objects' positions, it is likely that objects closely located or in contact partially(More)
In this paper, a scene interpretation system is proposed for cognitive robots to detect failures during their action executions. This system combines object recognition and segmentation results to maintain a consistent model of the world. Objects in the scene are recognized by using both color and depth information, and the unknown objects are segmented by(More)
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