Image recognition application for robotic manipulation of moving objects

Andrea Builes Gomez, Julio Cesar Correa Rodriguez, Jorge Mario Londono, Esteban Palacio Velasquez

Research output: Chapter in Book/Report/Conference proceedingConference and proceedingspeer-review

4 Scopus citations

Abstract

In this paper, an integration between a computer vision system and an industrial robot is simulated, in order to select and to position simple geometric shapes which are on a moving conveyor belt. To do so, a programming code was developed in the software Matlab®, capable to do the image processing tasks needed to obtain the desired object's centroid. Subsequently, an inverse kinematics analysis is made so the trajectory that the robot must follow to position the shape is generated. The code's main features is the possibility to choose among different shapes as triangles, rectangles, circles and so on; and that the found object's centroid is presented in world units (i.g. millimeters).

Original languageEnglish
Title of host publication2015 IEEE 2nd Colombian Conference on Automatic Control, CCAC 2015 - Conference Proceedings
EditorsGustavo Adolfo Osorio
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467393058
DOIs
StatePublished - 2 Dec 2015
Event2nd IEEE Colombian Conference on Automatic Control, CCAC 2015 - Manizales, Colombia
Duration: 14 Oct 201516 Oct 2015

Publication series

Name2015 IEEE 2nd Colombian Conference on Automatic Control, CCAC 2015 - Conference Proceedings

Conference

Conference2nd IEEE Colombian Conference on Automatic Control, CCAC 2015
Country/TerritoryColombia
CityManizales
Period14/10/1516/10/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • computer vision
  • integration
  • invariant moments
  • serial robotic manipulator
  • simulation

Fingerprint

Dive into the research topics of 'Image recognition application for robotic manipulation of moving objects'. Together they form a unique fingerprint.

Cite this