Fusion: Practice and Applications FPA 2692-4048 2770-0070 10.54216/FPA https://www.americaspg.com/journals/show/2666 2018 2018 College of Computer Science and Information Technology; University of Anbar, Ramadi, Anbar, Iraq Mohammed Mohammed Computer Science Department, Al-Maarif University Collage, Ramadi, Anbar, Iraq Mahmood Abdulrazzaq .. College of Computer Science and Information Technology; University of Anbar, Ramadi, Anbar, Iraq Ruqayah R. Al .. Computer Science Department, Al-Maarif University Collage, Ramadi, Anbar, Iraq Salah A. Aliesawi The Pure Pursuit Algorithm (PPA) is used in this paper to explain how a car with four wheels moves. The MATLAB environment has extensive simulation capabilities that can accurately represent complex robotic behaviors. It was these that were deployed for an extended analysis of the robot’s operational dynamics. In the MATLABSimulink framework, waypoints obtained from different algorithms define robot trajectory. An odometer sensor helped to localize the robot thus giving accurate real-time information on its position. After critically evaluating several performance indices, it became clear just how well this control algorithm worked because it smoothly moved the robot from its initial state to its target with almost no oscillations at all. The findings of the simulation confirmed that if an appropriate lookahead distance is selected then the robot can effectively track waypoints and maintain optimal path along a trajectory up until reaching the target point at last 2024 2024 80 88 10.54216/FPA.150207 https://www.americaspg.com/articleinfo/3/show/2666