%A Lars Olsson %A Chrystopher L. Nehaniv %A Daniel Polani %T Discovering Motion Flow by Temporal-Informational Correlations in Sensors %X A method is presented for adapting the sensors of a robot to its current environment and to learn motion flow detection by observing the informational relations between sensors and actuators. Examples are shown where the robot learns to detect motion flow from sensor data generated by its own movement. %K motion flow, information distance, sensor correlation, sensor adaptation, AIBO robot, RobotCub %P 117-120 %E Luc Berthouze %E Fr?d?ric Kaplan %E Hideki Kozima %E Hiroyuki Yano %E J?rgen Konczak %E Giorgio Metta %E Jacqueline Nadel %E Giulio Sandini %E Georgi Stojanov %E Christian Balkenius %V 123 %D 2005 %I Lund University Cognitive Studies %L cogprints4983