Technical and Economic Analysis of a Robotic Station for Assembling the FPV Drone Body

Górski Marcin (), Prykhodzhenko Valerii (), Karamon Tomasz () and Caban Jacek ()
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Górski Marcin: Lublin University of Technology, Student of Faculty of Mechanical Engineering, 36 Nadbystrzycka, 20-618 Lublin, Poland
Prykhodzhenko Valerii: Lublin University of Technology, Student of Faculty of Mechanical Engineering, 36 Nadbystrzycka, 20-618 Lublin, Poland
Karamon Tomasz: Lublin University of Technology, Student of Faculty of Mechanical Engineering, 36 Nadbystrzycka, 20-618 Lublin, Poland
Caban Jacek: Lublin University of Technology, Faculty of Mechanical Engineering, Department of Automation, 36 Nadbystrzycka, 20-618 Lublin, Poland

LOGI – Scientific Journal on Transport and Logistics, 2025, vol. 16, issue 1, 37-48

Abstract: The current technological progress is possible due to automated assembly and transport operations, and the increasing use of robotic cells. This article presents a robotic station for assembling the body of an FPV drone. The article uses analyzes and simulations as well as the results of simulation studies. The research has shown that the robotic station significantly increases the efficiency of the assembly process compared to traditional methods, shortening the unit production time by approximately 30-50%. The economic analysis has shown that despite higher initial costs, the investment in a robotic station pays off in approximately 3.3 years, which results from lower operating costs and the elimination of some labor costs. Moreover, the automation of assembly processes not only contributes to financial savings, but also to the improved quality of the final product. The future research should focus on further optimization of robotic stations, in particular on increasing their flexibility and adaptability in dynamic production environments.

Keywords: Automation; industry 4.0; robotics; internal transport; air transport (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:logitl:v:16:y:2025:i:1:p:37-48:n:1004

DOI: 10.2478/logi-2025-0004

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