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@misc{cogprints4983, volume = {123}, editor = {Luc Berthouze and Fr{\'e}d{\'e}ric Kaplan and Hideki Kozima and Hiroyuki Yano and J{\"u}rgen Konczak and Giorgio Metta and Jacqueline Nadel and Giulio Sandini and Georgi Stojanov and Christian Balkenius}, title = {Discovering Motion Flow by Temporal-Informational Correlations in Sensors}, author = {Lars Olsson and Chrystopher L. Nehaniv and Daniel Polani}, publisher = {Lund University Cognitive Studies}, year = {2005}, pages = {117--120}, keywords = {motion flow, information distance, sensor correlation, sensor adaptation, AIBO robot, RobotCub}, url = {http://cogprints.org/4983/}, abstract = {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.} }