A control algorithm based on adaptive neural networks is developed to control the navigation of a mobile autonomous ground-based explorer robot. A simulation was performed in the Matlab program to verify the operation of the algorithm, where the set of proximity sensors used by the robot for the detection and evasion of obstacles was simulated.