Neural network-based controllers for mobile robot

Abstract

A neural network-based control approach for mobile robot is proposed. The weight adaptation is made online, without previous learning. Several possible situations in robot navigation are considered,including uncertainties in the model and presence of disturbance. Weight adaptation laws are presented as well as simulation results.