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A cognitive robot system has to acquire and efficiently store vast knowledge about the world it operates in. To cope with every day tasks, a robot needs to learn, classify and recognize a manifold of different objects. Our work focuses on an object representation scheme that allows storing perceived objects in a compact way. This will enable the system to store extensive information about the world...
Imitation is a vast topic for both human sciences and robotics. Recent advances in the understanding of the neural mechanisms of imitation offer methodologies that bring the two research domains closer. In this paper we analyze how an imitation system can be bootstrapped from a non-imitative system at an abstract level so that the ideas derived can be applicable to infant development as well as robotics...
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