%A Lars Olsson
%A Chrystopher L. Nehaniv
%A Daniel Polani
%T Discovering Motion Flow by
Temporal-Informational Correlations in Sensors
%X 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.
%K motion flow, information distance, sensor correlation, sensor adaptation, AIBO robot, RobotCub
%P 117-120
%E Luc Berthouze
%E Fr?d?ric Kaplan
%E Hideki Kozima
%E Hiroyuki Yano
%E J?rgen Konczak
%E Giorgio Metta
%E Jacqueline Nadel
%E Giulio Sandini
%E Georgi Stojanov
%E Christian Balkenius
%V 123
%D 2005
%I Lund University Cognitive Studies
%L cogprints4983

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