Comparison and optimization of algorithms for simultaneous localization and mapping on a mobile robotRašl, Matic (Avtor) Holobar, Aleš (Mentor) Pedrosa, Eurico Farinha (Komentor) SLAMoptimizationmobile robotevolutionary algorithmsimulation.In this thesis, we compare and evaluate different SLAM solutions for a low-cost mobile robot. We present a simulator for the robot and use it to gather simulated data. Using this data, we then optimize the SLAM algorithms using an evolutionary algorithm. The optimized solutions are then validated and compared to default SLAM configurations. Up to 83 % reduction of error is achieved on validation data with multiple SLAM algorithms with improvements also visible on the real-world data.[M. Rašl]20232023-08-28 20:40:09Magistrsko delo/naloga85380sl