In this Master thesis experiments regarding autonomously navigation of mobile robots were conducted. Three navigational algorithms were used: Dijkstra path planning algorithm with approach following, Receding Horizon Control and A* path planning algorithm with Pure Pursuit. Mobile robot autonomous driving was simulated in laboratory conditions : driving forward, left turn and right turn. Each driving simulation was consisted of three different vehicle speeds (0.1, 0.3 and 0.6 m/s) and each experiment was repeated three times to gain experiment credibility. Parameters for each algorithm were determined with series of experiments on robot so optimal navigation can be established. Robot movements were tracked with infrared camera system Optitrack. Optitrack system is highly precise camera system for object tracking and recognition (position and orientation) so in this thesis it was used as a measurement reference. Every recorded experiment was processed and analyzed in computer program MATLAB and the conclusions regarding each algorithm were given based on obtained results and observed robot’s behaviour during experiments. The qualities and flows of each algorithm were given and systematically shown in special table in the Conclusion, showing main attributes of each navigational algorithm.