Innovación en la industria jugueterasistema robótico para el desmoldeo

  1. Sánchez, Daniel 1
  2. Jara, Carlos A. 2
  3. Gómez-Donoso, Francisco 2
  1. 1 Aiju (Instituto Tecnológico del Juguete)
  2. 2 Universitat d'Alacant
    info

    Universitat d'Alacant

    Alicante, España

    ROR https://ror.org/05t8bcz72

Book:
XLIV Jornadas de Automática: libro de actas: Universidad de Zaragoza, Escuela de Ingeniería y Arquitectura, 6, 7 y 8 de septiembre de 2023, Zaragoza
  1. Ramón Costa Castelló (coord.)
  2. Manuel Gil Ortega (coord.)
  3. Óscar Reinoso García (coord.)
  4. Luis Enrique Montano Gella (coord.)
  5. Carlos Vilas Fernández (coord.)
  6. Elisabet Estévez Estévez (coord.)
  7. Eduardo Rocón de Lima (coord.)
  8. David Muñoz de la Peña Sequedo (coord.)
  9. José Manuel Andújar Márquez (coord.)
  10. Luis Payá Castelló (coord.)
  11. Alejandro Mosteo Chagoyen (coord.)
  12. Raúl Marín Prades (coord.)
  13. Vanesa Loureiro-Vázquez (coord.)
  14. Pedro Jesús Cabrera Santana (coord.)

Publisher: Servizo de Publicacións ; Universidade da Coruña

ISBN: 9788497498609

Year of publication: 2023

Pages: 762-767

Congress: Jornadas de Automática (44. 2023. Zaragoza)

Type: Conference paper

DOI: 10.17979/SPUDC.9788497498609.762 DIALNET GOOGLE SCHOLAR lock_openRUC editor

Abstract

This work presents a new developed robotic system to automate the demoulding task in the toy manufacturing industry, which is typically labor-intensive and potentially hazardous for human operators. While automation has become common in industries like automotive and food, traditional sectors like toy manufacturing have lagged behind. The system utilizes specialized machinery for the toy production, cameras, actuators, and a vision-based algorithm, along with a collaborative robot capable of handling soft and flexible plastic pieces during demoulding. By implementing this system, the physical stress and potential injuries to human operators are reduced, enabling them to focus on tasks with higher dexterity requirements or reallocating them to less physically demanding sub-tasks. The development of this collaborative robotic system enhances the efficiency, accuracy, and safety of thedemoulding process, while allowing human operators to contribute in other industrial tasks.