Design and Development of Intelligent Navigation Control Systems for Autonomous Robots Using Fuzzy Logic Techniques

Abstract

Abstract

This research is to study about the behaviour robot navigation controller namely: fuzzy logic, that are used to control the autonomous mobile robot platform in obstacle avoidance in real time using ultrasonic sensors with complex strategies of decision-making navigating through a real unknown environment. The study presents design, simulation, hardware implementation and testing of the controller. Controller is simulated first in MATLAB® using the Simulink Toolbox. Later the controller is implemented using Arduino software and finally the hardware design of mobile robot with controller is developed. The response of controller was tested in environment using a maze that the robot should navigate avoiding obstacles and reaching the desired goal. The fuzzy logic controller was marginally superior for decision making in overall navigation and intelligence.

Keywords: Intelligent Controller, Autonomous Robot, Ultrasonic sensors, fuzzy logic, MATLAB®, Arduino.

Cite this Article

Viji R. Design and Development of Intelligent Navigation Control Systems for Autonomous Robots Using Fuzzy Logic Techniques. Journal of Electronic Design Technology. 2018; 9(3): 17–23p.