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[email protected]: Dr Krishnanand Kaipa Narasimha - Framework to identify robot peer

Istituto Dalle Molle di studi sull’intelligenza artificiale

Data d'inizio: 18 Gennaio 2010

Data di fine: 19 Gennaio 2010

18 January 2010 - 12h00 - Sala Primavera, Galleria 2, Manno 

Dr Krishnanand Kaipa Narasimha

Title: Framework to identify robot peer 

Abstract: 

Humans use oneself as a model to interpret the behavior and experience of others. This talk summarizes how the above theory is instantiated in a social student robot that identifies a good teacher from a set of candidate external social agents using the three phases of self-discovery, teacher modeling, and teacher imitation. In particular, during the first phase of self-discovery, the student robot uses actuation-sensation relationships to infer its own structure. Next, the student uses a novel stereo vision based active learning approach to observe a teacher and creates its 3D visual model. Finally, during the third phase of teacher imitation, the success of finding a neural controller that allows its self model (evolved in the first phase) to imitate the action of the teacher's visual model (evolved in the second phase) determines whether or not the observed agent is a good teacher.