This work aims to compare the application of two controllers for a mobile robot in a trajectory tracking task. The first method uses a heuristic approach based on the prior knowledge of the designer, while the second method uses a mathematical model based on the robot kinematics. Both systems employ the estimated robot position derived from an image processing algorithm. The paper shows experimental results with a real robot following a predefined path to explore the use of these techniques.