Making Cortically-Inspired Sensorimotor Control Realistic for Robotics: Design of an Extended Parallel Cellular Programming Model

Olivier Ménard 1 Stéphane Vialle Hervé Frezza-Buet
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper introduces a multi-layer software architecture, that allows smart design and implementation of complex cortical neural networks, and efficient parallel execution on multiprocessor machines. The developer implements cortical networks sticking to their natural fine grained formalism, without caring about its mapping on coarse grained parallel computers. The developer can use a set of graphical tools to easily develop and debug the cortical systems. Some experiments of new cortical model design on multiprocessor PCs are introduced, and some performance measurements are given. This software suite is operational and currently in use in our laboratory to control a robotic am through cortical neural networks running on multiprocessor PCs.
Mots-clés : robotics connexionnisme connectionism neural networks sensori-motor control biological inspiration réseaux de neurones contrôle sensori-moteur inspiration biologique robotique
Type de document :
Communication dans un congrès
International Conference on Advances in Intelligent Systems - Theory and Applications - AISTA 2004, Nov 2004, Luxembourg, 6 p, 2004
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Dernière modification le : jeudi 11 janvier 2018 - 06:19:48
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Olivier Ménard, Stéphane Vialle, Hervé Frezza-Buet. Making Cortically-Inspired Sensorimotor Control Realistic for Robotics: Design of an Extended Parallel Cellular Programming Model. International Conference on Advances in Intelligent Systems - Theory and Applications - AISTA 2004, Nov 2004, Luxembourg, 6 p, 2004. 〈inria-00099899〉

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