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2008

Learning Object Affordances: From Sensory-Motor Coordination to Imitation

3 years 10 months ago
Learning Object Affordances: From Sensory-Motor Coordination to Imitation
Affordances encode relationships between actions, objects and effects. They play an important role on basic cognitive capabilities such as prediction and planning. We address the problem of learning affordances through the interaction of a robot with the environment, a key step to understand the world properties and develop social skills. We present a general model for learning object affordances using Bayesian networks integrated within a general developmental architecture for social robots. Since learning is based on a probabilistic model, the approach is able to deal with uncertainty, redundancy and irrelevant information. We demonstrate successful learning in the real world by having an humanoid robot interacting with objects. We demonstrate the benefits of the acquired knowledge in imitation games.
Luis Montesano, Manuel Lopes, Alexandre Bernardino
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2008
Where TROB
Authors Luis Montesano, Manuel Lopes, Alexandre Bernardino, José Santos-Victor
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