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Generated data volumes are constantly increasing, dictating the need for more sophisticated algorithms and mathematical models to achieve faster and more accurate processing of this data volume. The execution requirements of these algorithms/models often require increased computational resources which entails increased energy and costs. It is evident that, as data continue to grow, performing such processing algorithms on robotic vehicles that do not have the computational power and the energy autonomy will be impossible.
This diploma thesis focuses on the implementation of a system that aims to offload some robotic vehicle operations into a computer cluster. This way, robots can execute algorithms that, due to computational resource and energy requirements, would be impossible. The proposed system allows developers that do not have robotic programming skills, to treat robotic systems under a software as a service prism.