Agarre bimanual de objetos asistido por visión

  1. J.A. Castro-Vargas 1
  2. B.S. Zapata-Impata 1
  3. P. Gil 1
  4. J. Pomares 1
  1. 1 Universitat d'Alacant
    info

    Universitat d'Alacant

    Alicante, España

    ROR https://ror.org/05t8bcz72

Book:
XXXIX Jornadas de Automática: actas. Badajoz, 5-7 de septiembre de 2018
  1. Inés Tejado Balsera (coord.)
  2. Emiliano Pérez Hernández (coord.)
  3. Antonio José Calderón Godoy (coord.)
  4. Isaías González Pérez (coord.)
  5. Pilar Merchán García (coord.)
  6. Jesús Lozano Rogado (coord.)
  7. Santiago Salamanca Miño (coord.)
  8. Blas M. Vinagre Jara (coord.)

Publisher: Universidad de Extremadura

ISBN: 978-84-9749-756-5 978-84-09-04460-3

Year of publication: 2018

Pages: 1030-1037

Congress: Jornadas de Automática (39. 2018. Badajoz)

Type: Conference paper

DOI: 10.17979/SPUDC.9788497497565.1030 DIALNET GOOGLE SCHOLAR lock_openRUC editor

Sustainable development goals

Abstract

Manipulation tasks of objects, sometimes, requires the use of two or more cooperating robots. In the industry 4.0, assistance robotic is being more and more demanded, for example, to carry out tasks such as lifting, dragging or pushing of both heavy and big packages. Consequently, it is possible to find robots with human appearance addressed on helping human operators in activities in which these types of movements occur. In this article, a vision-assisted robotic platform is presented to carry out both grasping tasks and bimanual manipulation of objects. The robotic platform consists of a metallic torso with rotational joint at the hip and two industrial manipulators, with 7 degrees of freedom, which act as arms. Each arm mounts a multi-finger robotic hand at the end. Each of the upper extremities use visual perception from 3 RGBD sensors located in an eye-to-hand configuration. The platform has been successfully used and tested to carry out bi- manual object grasping in order to develop cooperative manipulation tasks in a coordinated way between both robotic extremities