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