Title :
Self-organizing model of learning and its application to eyesight system of robot
Author :
Suzuki, Hisashi ; Arimoto, Sugurn
Author_Institution :
Fac. of Eng. Sci., Osaka Univ., Japan
Abstract :
A self-organizing model that dynamically constructs balanced trees of a database to universally learn any relation between input signals and output signals of unknown systems, is proposed. Contrary to conventional databases that memorize data individually, the self-organizing model forms an associative memory which realizes the function of learning. Applications of the model to position identification and obstacle avoidance in an autonomous mobile robot system, as well as to continuous handwritten letter recognition are shown, together with some successful experimental results.<>
Keywords :
computerised pattern recognition; content-addressable storage; database management systems; learning systems; mobile robots; self-adjusting systems; associative memory; autonomous mobile robot system; balanced trees; continuous handwritten letter recognition; database; experimental results; eyesight system; input signals; learning model; obstacle avoidance; output signals; position identification; self-organizing model; unknown systems; Acceleration; Associative memory; Data engineering; Databases; Equations; Handwriting recognition; Machine learning; Mobile robots; Neural networks; Terminology;
Conference_Titel :
Artificial Intelligence for Industrial Applications, 1988. IEEE AI '88., Proceedings of the International Workshop on
Conference_Location :
Hitachi City, Japan
DOI :
10.1109/AIIA.1988.13325
