Design of Fuzzy Based Intelligent Controller for Autonomous Mobile Robot Navigation

In this paper, the design of an intelligent fuzzy based inference system is presented for autonomous mobile robot navigation, wherein the robot can navigate in its own path without continuous human intervention. The ranging information is provided by multiple sensors (Ultrasonic, LiDAR, and Infrared) for effective environment perception. The data fusion algorithm placed within the system ensures the highest level of accuracy for obstacle detection and collision avoidance. Maneuvering of the mobile robot is made possible by an intelligent fuzzy inference system. The proposed prototype of the mobile robot finds various applications in the domains of autonomous navigation, surveillance systems, managing factory floors etc. Also, it can act as a test-bed to evaluate various algorithms related to autonomous navigation.