20.500.12556/RUL-130448 Samodejno programiranje robotske celice v virtualnem okolju z uporabo genetskega algoritma Self-programming of robot cell in virtual environment by usign a genetic algorithm V tem diplomskem delu se osredotočamo na napredno programiranje robotske celice v virtualnem okolju s programskim orodjem Visual Components. Eno od metod naprednega programiranja predstavlja uporaba genetskega algoritma, ki omogoča samodejno programiranje robotske celice in optimiziranje poti robotske roke na podlagi ustreznih vhodnih podatkov in postavljene kriterije. V nalogi so v teoretičnem delu predstavljene osnove programiranja robotov in osnove genetskih algoritmov, katere so nam služile pri praktičnem delu naloge. V poglavju metodologija je predstavljen praktičen del naloge, ki zajema uporabo programskega okolja Visual Components in izdelavo robotske celice, katera je potrebna za izvajanje simulacij in pridobitev rezultatov. V tem delu pa je podrobno predstavljen tudi uporabljen genetski algoritem in pa potek simulacij. Na koncu so predstavljeni rezultati simulacij pri različnih pogojih, diskusija in zaključki. 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. samodejno programiranje robotska celica optimizacija poti virtualno okolje genetski algoritem self-programming robot cell path optimization virtual environment genetic algorithm true false false [D. Višnjar] Slovenski jezik Angleški jezik Zaključna naloga 2021-09-15 08:31:00 2021-09-15 08:31:02 2023-10-20 13:38:44 0000-00-00 00:00:00 2021 0 Ljubljana 0 XIII, 26 str. 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 1970-01-01 004.415.3:007.52(043.2) 233939 80451843 10779.pdf 10779.pdf 1 25C9D114E465330572ADFA00E4EECDDA 3b4612583646287fa00221a939790ebccd6f33b48a5f6a06f041e87f7c8298b3 3d54c387-15ee-11ec-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=147559 Fakulteta za strojništvo 0 0 0