ICRA 2012 Paper Abstract


Paper TuA03.2

Bernard, Mathieu (Brain Vision Systems), PIRIM, Patrick (BVS), de Cheveigné, Alain (Laboratoire Psychologie de la Perception (CNRS UMR 8158)), Gas, Bruno (Université Pierre et Marie Curie)

Sensorimotor Learning of Sound Localization from an Auditory Evoked Behavior

Scheduled for presentation during the Regular Session "Learning and Adaptive Control of Robotic Systems I" (TuA03), Tuesday, May 15, 2012, 08:45−09:00, Meeting Room 3 (Mak'to)

2012 IEEE International Conference on Robotics and Automation, May 14-18, 2012, RiverCentre, Saint Paul, Minnesota, USA

This information is tentative and subject to change. Compiled on November 14, 2018

Keywords Learning and Adaptive Systems, Localization, Biomimetics


A new method for self-supervised sensorimotor learning of sound source localization is presented, that allows a simulated listener to learn online an auditorimotor map from the sensorimotor experience provided by an auditory evoked behavior. The map represents the auditory space and is used to estimate the azimuthal direction of sound sources. The learning mainly consists in non-linear dimensionality reduction of sensorimotor data. Our results show that an auditorimotor map can be learned, both from real and simulated data, and that the online learning leads to accurate estimations of azimuthal sources direction.



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