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Discovering Motion Flow by Temporal-Informational Correlations in Sensors

Lars Olsson, Chrystopher L. Nehaniv, Daniel Polani

发表年份
2005
引用次数
8
访问权限
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摘要

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.

关键词

Motion (physics)Artificial intelligenceComputer visionMotion sensorsMovement (music)Computer scienceRobotFlow (mathematics)MathematicsAcoustics

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