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

Abstract

This study’s primary objective is to design and evaluate an innovative Average Neuro-Fuzzy Controller for mobile robot navigation
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 information.
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.