A Unified Model For Developmental Robotics
Williams Paquier, Nicolas Do Huu, Raja Chatila · CogPrints (University of Southampton) · 2003
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.