Multi-layer perceptron neural network mobile robot navigator in unknown environment

<span lang="EN-US">Recently, navigation in an unknown environment without hitting obstacles was considered a big challenge faced by researchers. The difficulty finding good mathematical model for the different systems is deciding to use artificial intelligent controllers control mobile robot movement. In this paper, designing two multi-layer-perceptron neural networks (MLP-NN) done movement of robots environment. first MLP-NN linear velocity on x-axis and angular robot’s while other designed avoid static dynamic navigating results show each controller's advantages performing tasks avoiding environments.</span>