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Discovery, segmentation and reactive grasping of unknown objects

David Schiebener, Julian Schill, Tamim Asfour

Year
2012
Citations
13

Abstract

Learning the visual appearance and physical properties of unknown objects is an important capability for humanoid robots that are supposed to be working in an open environment. We present an approach that enables a robot to discover new, unknown objects, segment them from the background and grasp them. This gives the robot full control over the object and allows its further multimodal exploration.

Keywords

GRASPHumanoid robotComputer scienceArtificial intelligenceComputer visionRobotObject (grammar)SegmentationHuman–computer interaction

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