The article discusses the development of a control system for a differential drive-wheeled mobile robot that can autonomously control its position, heading, and speed. The intelligence of this system is implemented using a fuzzy logic algorithm, which is a potent tool to handle un-modeled systems like the dynamically changing environment. The fuzzy controller addresses problems associated with navigation in an obstacle-strewn environment, such as position estimation, path planning, and obstacle avoidance. The simulation results show that the developed robot can successfully travel from any location to the destination without colliding with obstacles.
Publication date: 5 Jan 2024
Project Page: Not Provided
Paper: https://arxiv.org/pdf/2401.01756
