In this thesis, we focus on advanced robot cell programming in a virtual environment with
the Visual Components software tool. One of the methods of advanced programming is the
use of a genetic algorithm that allows automatic programming of the robotic cell and
optimization of the path of the robotic arm based on the appropriate input data and set
criteria. The theoretical part presents the basics of robot programming and the basics of
genetic algorithms, which served us in the making of practical part of the task. The
methodology section presents a practical part of the task, which includes the use of the Visual
Components software and the creation of a robotic cell, which is needed to perform
simulations and obtain results. In this part, the used genetic algorithm and the course of
simulations are presented in detail. Finally, the results of simulations under different
conditions are presented, as well as the discussion and conclusion.
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