Distributed processing for modelling real-time multimodal perception in a virtual robot

Sylvain Chevallier (1) , Hélène Paugam-Moisy (1) , François Lemaître (1)

1 ISC - Institut des Sciences Cognitives

Built from a need for modelling cognitive processes, a modular neural network is designed as the "brain" of a virtual robot moving in a prey-predator environment. The robot decides its path from the animals it identifies around. Both a parallel implementation of distributed processes and a temporal coding of spiking neurons allow the robot to develop multimodal perception with attentional mechanisms and to react in real-time to its dynamic environment.

Mots clés: Distributed Real-time Systems; Neural Networks; Multi- modal Perception; Attentional Mechanisms; Robotics

Domaines: Réseau de neurones [cs.NE]; Calcul parallèle, distribué et partagé [cs.DC]; Informatique; Apprentissage [cs.LG]

Sylvain Chevallier, Hélène Paugam-Moisy, François Lemaître. Distributed processing for modelling real-time multimodal perception in a virtual robot. PDCN'2005, Feb 2005, Innsbruck, Austria. pp.393-398. ⟨hal-00529527⟩