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: | 11 Mar 2011 08:56 |
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