Fuzzy Logic Controller Design for Mobile Robot Outdoor Navigation

TL;DR

This paper presents a fuzzy logic-based control system enabling a mobile robot to autonomously navigate complex outdoor environments, effectively handling obstacle avoidance, position estimation, and path planning through simulation.

Contribution

It introduces a fuzzy logic controller for outdoor mobile robot navigation, addressing obstacle avoidance and path planning in dynamic environments.

Findings

Robot successfully navigates to destinations without collisions

Fuzzy controller effectively manages obstacle avoidance

Simulation confirms system's reliability in dynamic settings

Abstract

Many researchers around the world are researching to get control solutions that enhance robots' ability to navigate in dynamic environments autonomously. However, until these days robots have limited capability and many navigation tasks on Earth and other planets have been difficult so far. This paperwork presents the development of a control system for a differential drive-wheeled mobile robot that autonomously controls its position, heading, and speed based on destination information given and surrounding data gathered through mounted proximity and GPS sensors. The intelligence of this control system is implemented by using a fuzzy logic algorithm which is a very powerful tool to handle un-modeled systems like the dynamically changing environment dealt with in this research. The fuzzy controller is used to address the problems associated with navigation in an obstacle-strewn environment. Such issues include position estimation, path planning, and obstacle avoidance. In this study modeling, design, and simulation of the system have been done. The simulation result shows that the developed mobile robot travels successfully from any location to the destination location without colliding with obstacles.