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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Górski Marcin & Prykhodzhenko Valerii & Karamon Tomasz & Caban Jacek, 2025. "Technical and Economic Analysis of a Robotic Station for Assembling the FPV Drone Body," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 16(1), pages 37-48.
    • Handle: RePEc:vrs:logitl:v:16:y:2025:i:1:p:37-48:n:1004
    DOI: 10.2478/logi-2025-0004
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    References listed on IDEAS

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    1. Henrik Schwabe & Fulvio Castellacci, 2020. "Automation, workers’ skills and job satisfaction," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-26, November.
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