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The behavior of the robot for the treatment and education of autism spectrum disorders (ASD) children with various characteristic disability symptoms was suggested with the help of artificial neural network (ANN). The proposed method combines ANN with robot motion based on existing field experiments to enhance the therapeutic effect. The newly designed motion classifies the behavior patterns in ambiguous situations while performing the basic specific actions. For implementing this operation, the hardware structure and control algorithm of the robot is also described. The basic structure of Feed-forward Neural Network (FNN) is designed under consideration how to construct and to improve the performance of the robot. This neural network architecture is verified by real robot experiment based on the actions used for actual treatment. In the future, we will expand the hardware supplement and ANN so that it can perform more intelligent actions in various situations and find out the effectiveness of the motion designed by applying it to real field of autistic children education.
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