Open AccessMaterial handling based on object recognition with the help of FANUC delta-parallel industrial robot
Author(s) -
Gy Korsoveczki,
Géza Husi
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/898/1/012034
Subject(s) - robot , mechatronics , artificial intelligence , industrial robot , task (project management) , object (grammar) , computer science , computer vision , smt placement equipment , machine vision , software , component (thermodynamics) , robot control , engineering , engineering drawing , mobile robot , programming language , systems engineering , physics , thermodynamics
The task was made that recognizes objects with the help of delta-parallel constructed pick & place FANUC robot, that can be found at the Mechatronics Department, Engineering Faculty, University of Debrecen. The detection of the different objects was realised by a SONY XC-56 typed industrial monochromatic camera and using the own image processing software component of the robot. To accomplish the material handling a linear drive, an electropneumatic gripper and the digital output system of the robot were used. During the project, the implementation of a material handling operation was the aim that is based on the machine vision of the robot. As a result, the robot used its vision and object recognizing ability based on iRVision environment, completed object recognition and material handling procedure with the help of a linear drive controlled by robot program code.