A novel intelligent mobile robot navigation technique for avoiding obstacles using RBF neural network

This paper proposes a path planning and intelligent control of mobile robot in unknown environment with static/dynamic obstacles and fixed target. A radial basis function (RBF) network approach is proposed in this work for obtaining optimized path to reach the goal without collision. The competency of the proposed approach is verified by means of simulation results using MATLAB where robot moves in a variety of environments with obstacles of different shapes and sizes.