Development of a Hybrid Control Algorithm Based on Neural Networks for Mobile Autonomous Robot Navigation
Edwin Ferney Quintero, Carlos P. Borras · 2021 International Symposium on Electrical, Electronics and Information Engineering · 2021
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.