%A Williams Paquier
%A Nicolas Do Huu
%A Raja Chatila
%T A Unified Model For Developmental Robotics
%X We present the architecture and distributed
algorithms of an implemented system called
NeuSter, that unifies learning, perception and action
for autonomous robot control. NeuSter comprises
several sub-systems that provide online
learning for networks of million neurons on machine
clusters. It extracts information from sensors,
builds its own representations of the environment
in order to learn non-predefined goals.
%K developmental robotics, NeuSter, pulsed neural network, symbol grounding, action chaining
%P 173-174
%E Christopher G. Prince
%E Luc Berthouze
%E Hideki Kozima
%E Daniel Bullock
%E Georgi Stojanov
%E Christian Balkenius
%V 101
%D 2003
%I Lund University Cognitive Studies
%L cogprints3351

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