Samara University Repository
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This is an open electronic archive created to preserve and disseminate the scientific results of our university. The works of researchers, faculty members, and students are available to everyone for academic and research purposes.
The repository contains dissertations, research articles, educational and methodological materials, monographs, and regulatory documents. The collections cover a wide range of fields: from aerospace technologies, engine engineering, and computer science to history, linguistics, mathematics, and ecology. The archive brings together the scientific heritage of the university, including materials prepared during the period of Samara State Aerospace University and Samara State University.
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| Title: | Разработка модели и программирование роботизированной производственной ячейки для обслуживания металлообрабатывающих станков |
| Authors: | Сенацкая О. Б. |
| Keywords: | intelligent maintenance metalworking machines offline programming postprocessors robotic manipulators robotic production cells R-Pro simulation modeling software имитационное моделирование интеллектуальное обслуживание металлообрабатывающие станки оффлайн-программирование постпроцессоры программное обеспечение роботизированные производственные ячейки роботы-манипуляторы |
| Issue Date: | 2025 |
| Citation: | Сенацкая, О. Б. Разработка модели и программирование роботизированной производственной ячейки для обслуживания металлообрабатывающих станков = Development of a model and programming of a robotic cell for servicing metalworking machines / О. Б. Сенацкая // Перспективы развития двигателестроения : материалы междунар. науч.-техн. конф. им. Н. Д. Кузнецова (18–20 июня 2025 г.) / Самар. нац. исслед. ун-т им. С. П. Королева (Самар. ун-т) ; редкол.: Е. В. Шахматов, А. И. Ермаков. - Самара : Изд-во Самар. ун-та, 2025. - С. 355-357. |
| Abstract: | This paper presents the development of a robotic cell model for servicing metalworking machines using the R-Pro simulation platform. Two generalized automation approaches were analyzed. A Python-based postprocessor was implemented to convert robot programs created in R-Pro into executable code. Offline programming and digital modeling ensure efficient and safe system deployment. |
| URI: | http://repo.ssau.ru/jspui/handle/123456789/43309 |
| Appears in Collections: | Перспективы развития двигателестроения |
| File | Size | Format | |
|---|---|---|---|
| 978-5-7883-2191-2_2025-355-357.pdf | 502.56 kB | Adobe PDF | View/Open |
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