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In this research, four different positioning methods were compared in order to evaluate their accuracy, using a remotely controlled robot on a specific route. These methods included: using a single GPS module, combining the data from three GPS modules, using an INERTIAL MEASUREMENT Unit (IMU), and GPS/IMU DATA FUSION. The comparison of these four methods showed that GPS/IMU DATA FUSION along with a KALMAN FILTER was the most precise method, having a root mean square error of 23.4 cm. Integrating the data acquired simultaneously from three GPS modules with fixed and equally spaced position and far enough from each other, had a root mean square error of 31.3 cm was the second most precise method. Also analysis of the IMU data showed that due to cumulative errors, it was not a suitable method using a single IMU for positioning.