A New Method for Robot Navigation in Uncharted Spaces Using Average Neuro-Fuzzy Hybrid Control

Samenvatting

This study’s primary objective is to design and evaluate an innovative Average Neuro-Fuzzy Controller for mobile robot naviga
tion and route planning in densely populated areas. A number of studies pertaining to robots, control, and navigation have been 
reviewed during the course of the examination. A number of the robot’s on-board distance sensors are used for environment 
mapping purposes. Different sectors (front, left, right, and rear) have been created using the environmental sensor informa
tion. While navigating from one location to another, robots use their sensors to detect and avoid impediments. The present 
study’s simulation and experimental findings from a variety of workouts agree to within 3%. The suggested method for robot 
navigation in complicated situations is successful, as shown by comparisons of outcomes. There are many different types of 
engineering optimization issues that this method may solve.