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Educational Mechatronics Training System Based on Computer Vision for Mobile Robots

Author

Listed:
  • Héctor A. Guerrero-Osuna

    (Posgrado en Ingeniería y Tecnología Aplicada, Universidad Autónoma de Zacatecas, Zacatecas City 98000, Zacatecas, Mexico)

  • Jesús Antonio Nava-Pintor

    (Posgrado en Ingeniería y Tecnología Aplicada, Universidad Autónoma de Zacatecas, Zacatecas City 98000, Zacatecas, Mexico)

  • Carlos Alberto Olvera-Olvera

    (Posgrado en Ingeniería y Tecnología Aplicada, Universidad Autónoma de Zacatecas, Zacatecas City 98000, Zacatecas, Mexico)

  • Teodoro Ibarra-Pérez

    (Instituto Politécnico Nacional, Unidad Profesional Interdisciplinaria de Ingeniería Campus Zacatecas (UPIIZ), Zacatecas City 98160, Zacatecas, Mexico)

  • Rocío Carrasco-Navarro

    (Research Laboratory on Optimal Design, Devices and Advanced Materials—OPTIMA, Department of Mathematics and Physics, ITESO, Tlaquepaque 45604, Jalisco, Mexico)

  • Luis F. Luque-Vega

    (Centro de Investigación, Innovación y Desarrollo Tecnológico CIIDETEC-UVM, Universidad del Valle de México, Tlaquepaque 45601, Jalisco, Mexico)

Abstract

Boosting by the world’s context, several efforts have been maiden toward the digital transformation of Education. Technology-based active learning has become pivotal in pursuing a more flexible education system. This work presents the development of an Educational Mechatronics (EM) training system based on computer vision that performs as a positioning system for mobile robots in the 2D plane. The results show that the obtained precision, exactitude, and resolution of the EM training system are suitable for robotics applications comprising position, velocity, and acceleration variables. Moreover, an instructional design aligned with the EM conceptual framework, using the EM training system and a LEGO mobile robot, is presented to construct the mechatronic concept: line segment.

Suggested Citation

  • Héctor A. Guerrero-Osuna & Jesús Antonio Nava-Pintor & Carlos Alberto Olvera-Olvera & Teodoro Ibarra-Pérez & Rocío Carrasco-Navarro & Luis F. Luque-Vega, 2023. "Educational Mechatronics Training System Based on Computer Vision for Mobile Robots," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1386-:d:1032430
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    Cited by:

    1. David Sotelo & José Carlos Vázquez-Parra & Marco Cruz-Sandoval & Carlos Sotelo, 2023. "Lab-Tec@Home: Technological Innovation in Control Engineering Education with Impact on Complex Thinking Competency," Sustainability, MDPI, vol. 15(9), pages 1-16, May.

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