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Autonomous Navigation of non holonomic Vehicles Using Interval Type 2 Fuzzy Logic System and Neural Network in Simulated Environment

Orientation is required in the navigation applications in the outdoorslike horticulture, forestry, agriculture, civil or social works, industrial works, geo-studies, space works and other applications of unloading or loading of vehicles.The main aim of the research is to develop algorithm for autonomous navigation of non-holonomic vehicles using interval type-2 fuzzy logic system and neural networks in simulated environment using MATLAB. It was noticed that network configuration and training of neural network indicates that good training results could be achieved. From the findings of the analysis, it was observed that by adopting the fuzzy control improved by neural network, it can able to identify the nearest way of vehicle efficiently.For future work it can be extended for autonomous navigation of non-holonomic vehicles using artificial intelligence techniques in simulated environment using LABVIEW platform which can be applied to environmental applications.