Robotization of Production Processes Using Graphic Vision Sensors in Educational Exercise

Authors

  • Grzegorz Łaba Uniwersytet Rzeszowski, Wydział Matematyczno-Przyrodniczy, Studenckie Koło Naukowe „Trojan”, Polska
  • Bogusław Twaróg Uniwersytet Rzeszowski, Wydział Matematyczno- -Przyrodniczy, Polska https://orcid.org/0000-0002-5782-0048

DOI:

https://doi.org/10.15584/eti.2019.2.26

Keywords:

control systems, robotization, vision sensors, robot programming, modern education

Abstract

The article presents the practical implementation and analysis of the functioning of a robotic palletizing set based on the SensoPart Visor V10-OB-A1-W6 vision sensor supporting the work of the Kawasaki RS03N industrial robot arm. Dedicated software for controlling an industrial robot has been designed and implemented taking into account the configuration and graphical optimization of vision parameters of the image sensor. The tuned control system allows you to automatically find specific 3D objects and complete them according to a specific storage algorithm. The practicing students in the laboratory can learn about the latest methods of designing industrial robots control systems for the purpose of automation of production processes. Keywords

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Published

2019-06-30

How to Cite

Łaba, G., & Twaróg, B. (2019). Robotization of Production Processes Using Graphic Vision Sensors in Educational Exercise. Journal of Education, Technology and Computer Science, 28(2), 183–189. https://doi.org/10.15584/eti.2019.2.26

Issue

Vol. 28 No. 2 (2019)

Section

SELECTED PROBLEMS OF LIFELONG LEARNING

License

Copyright (c) 2019 Journal of Education, Technology and Computer Science

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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