title: Perceptual Abstraction for Robotic Cognitive Development creator: Driancourt, Remi subject: Machine Learning subject: Artificial Intelligence subject: Robotics description: We are concerned with the design of a developmental robot that learns from scratch simple models about itself and its surroundings. A particular attention is given to perceptual abstraction from high-dimensional sensors. 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/3347/1/Driancourt.pdf identifier: Driancourt, Remi (2003) Perceptual Abstraction for Robotic Cognitive Development. [Conference Poster] relation: http://cogprints.org/3347/