Discovering Motion Flow by Temporal-Informational Correlations in Sensors
Lars Olsson, Chrystopher L. Nehaniv, Daniel Polani · University of Hertfordshire Research Archive (University of Hertfordshire) · 2005
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. 1.