Biblioteca de la Universidad Complutense de Madrid

Sensory-motor neural loop discovering statistical dependences among imperfect sensory perception and motor response

Impacto

Makarov, Valeri A. y Castellanos, Nazareth P. y Patane, Luca y Velarde, Manuel G. (2007) Sensory-motor neural loop discovering statistical dependences among imperfect sensory perception and motor response. In Bioengineered and Bioinspired Systems III. Proceedings of SPIE (6592 ). SPIE-INT SOC OPTICAL ENGINEERING, BELLINGHAM. ISBN 978-0-8194-6720-1

URL Oficial: http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1303687




Resumen

Common design of a robot searching for a target emitting sensory stimulus (e.g. odor or sound) makes use of the gradient of the sensory intensity. However, the intensity may decay rapidly with distance to the source, then weak signal-to-noise ratio strongly limits the maximal distance at which the robot performance is still acceptable. We propose a simple deterministic platform for investigation of the searching problem in an uncertain environment with low signal to noise ratio. The robot sensory layer is given by a differential sensor capable of comparing the stimulus intensity between two consecutive steps. The sensory output feeds the motor layer through two parallel sensory-motor pathways. The first "reflex" pathway implements the gradient strategy, while the second "integrating" pathway processes sensory information by discovering statistical dependences and eventually correcting the results of the first fast pathway. We show that such parallel sensory information processing allows greatly improve the robot performance outside of the robot safe area with high signal to noise ratio.


Tipo de documento:Sección de libro
Información Adicional:

Conference on Bioengineered and Bioinspired Systems III. Maspalomas, SPAIN. MAY 02-04, 2007. SPIE Europe.

Palabras clave:Target searching strategy; Short time memory; Dynamical systems; Reflex pathway; Robot
Materias:Ciencias > Informática > Programación de ordenadores
Código ID:16721
Depositado:16 Oct 2012 08:11
Última Modificación:28 Jun 2016 14:28

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