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ピトヨ・ハルトノ >

このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10445/5282

タイトル: Embedded Neural Network for Learning of Physical Robots
著者: Hartono, Pitoyo
Kakita, Sachiko
アブストラクト: In this study we ran real time learning of multiple physical autonomous robots situated in a real dynamic environment. Each robot has an onboard micro controller where a simple neural network is embedded. The neural network was built with the consideration of the power and calculation resources limitation which is a general characteristic of simple robots. In the experiments, several autonomous robots were placed in one environment, where each of them was given a specific task which was expressed as the evaluation function for the robot's neural network. The learning processes of the robots were started simultaneously from their randomized initial conditions. The presence of several robots consequently formed a dynamic environment, in which an action of one robot affected the learning process of others. We demonstrated the efficiency of the embedded learning mechanism with respect to different environmental factors.
研究業績種別: 国際会議/International Conference
資料種別: Conference Paper
査読有無: あり/yes
単著共著: 単著/solo
発表雑誌名,発表学会名など: Proc. Int. Conf. on Artificial Neural Networks (ICANN 2008)
巻: 2
開始ページ: 141
終了ページ: 149
年月日: 2008年
出版社: Springer LNCS 5163
出現コレクション:ピトヨ・ハルトノ

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