@misc{cogprints3351,
          volume = {101},
          editor = {Christopher G. Prince and Luc Berthouze and Hideki Kozima and Daniel Bullock and Georgi Stojanov and Christian Balkenius},
           title = {A Unified Model For Developmental Robotics},
          author = {Williams Paquier and Nicolas Do Huu and Raja Chatila},
       publisher = {Lund University Cognitive Studies},
            year = {2003},
           pages = {173--174},
        keywords = {developmental robotics, NeuSter, pulsed neural network, symbol grounding, action chaining},
             url = {http://cogprints.org/3351/},
        abstract = {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.}
}

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