Distributed Processing for Modelling Real-Time Multimodal Perception in a Virtual Robot

S. Chevallier, H. Paugam-Moisy, and F. LemaƮtre (France)


Distributed Real-time Systems, Neural Networks, Multi modal Perception, Attentional Mechanisms, Robotics


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 de velop multimodal perception with attentional mechanisms and to react in real-time to its dynamic environment.

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