Intelligent Leaning and Control of Autonomous Mobile Robot using MLP and RBF based Neural Network in Clustered Environment
نویسنده
چکیده
This paper deals with motion control of an autonomous mobile robot using an intelligent multi-layer perceptron (MLP) and radial basis function (RBF) neural network based techniques. Obstacle avoidance and target seeking are the two most important behaviors in the proposed research. The ANN based controller is trained using 100 training patterns so that mobile robot moves towards the target without collision with obstacles in unknown environment. The performance of the controllers are investigated keeping static obstacles in the environment by simulation using MATLAB.
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