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Discovering Motion Flow by Temporal-Informational Correlations in Sensors

Olsson, Lars and Nehaniv, Chrystopher L. and Polani, Daniel (2005) Discovering Motion Flow by Temporal-Informational Correlations in Sensors. [Conference Paper]

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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.

Item Type:Conference Paper
Keywords:motion flow, information distance, sensor correlation, sensor adaptation, AIBO robot, RobotCub
Subjects:Computer Science > Statistical Models
Computer Science > Machine Learning
Computer Science > Robotics
ID Code:4983
Deposited By:Prince, Dr Christopher G.
Deposited On:23 Jul 2006
Last Modified:12 Sep 2007 18:05

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