title: A Unified Model For Developmental Robotics creator: Paquier, Williams creator: Do Huu, Nicolas creator: Chatila, Raja subject: Neural Nets subject: Artificial Intelligence subject: Robotics description: 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. publisher: Lund University Cognitive Studies contributor: Prince, Christopher G. contributor: Berthouze, Luc contributor: Kozima, Hideki contributor: Bullock, Daniel contributor: Stojanov, Georgi contributor: Balkenius, Christian date: 2003 type: Conference Poster type: PeerReviewed format: application/pdf identifier: http://cogprints.org/3351/1/Paquier.pdf identifier: Paquier, Williams and Do Huu, Nicolas and Chatila, Raja (2003) A Unified Model For Developmental Robotics. [Conference Poster] relation: http://cogprints.org/3351/