Mobile Robot Behavior Controller Based on Genetic Diagonal Recurrent Neural Network

Abstract

It is crucial that a robot should have both learning and evolutionary ability to adapt to dynamic environments. This paper proposes a new mobile robot behavior controller based on genetic algorithm (GA) and diagonal recurrent neural network (DRNN). The DRNN has the advantages of time series prediction capability because of its memory nodes, as well as local… (More)

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