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2007
IEEE

Affordance-based imitation learning in robots

10 years 6 months ago
Affordance-based imitation learning in robots
— In this paper we build an imitation learning algorithm for a humanoid robot on top of a general world model provided by learned object affordances. We consider that the robot has previously learned a task independent affordancebased model of its interaction with the world. This model is used to recognize the demonstration by another agent (a human) and infer the task to be learned. We discuss several important problems that arise in this combined framework, such as the influence of an inaccurate model in the recognition of the demonstration. We illustrate the ideas in the paper with some experimental results obtained with a real robot.
Manuel Lopes, Francisco S. Melo, Luis Montesano
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where IROS
Authors Manuel Lopes, Francisco S. Melo, Luis Montesano
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