Developmental object learning through manipulation and human demonstration

Abstract : We present a cognitive developmental approach for a humanoid robot exploring its close environment in an interactive scenario, taking inspiration from the way infants learn about objects. The proposed approach allows to detect physical entities in the visual space, to create multi-view appearance models of these entities and to categorize them into robot parts, human parts and manipulated objects without supervision and without prior knowledge about their appearances. All information about the entities appearances and behaviour is incrementally acquired while the robot and its human partner interact with objects.
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Submitted on : Friday, June 28, 2013 - 2:08:38 PM
Last modification on : Wednesday, July 3, 2019 - 10:48:05 AM
Long-term archiving on : Sunday, September 29, 2013 - 4:36:52 AM


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  • HAL Id : hal-00839519, version 1


Natalya Lyubova, Serena Ivaldi, David Filliat. Developmental object learning through manipulation and human demonstration. ICRA Mobile Manipulation Workshop on Interactive Perception, 2013, Germany. ⟨hal-00839519⟩



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