Intelligent robotic welding based on a computer vision technology approach

Robots have become an essential part of modern industries in welding departments to increase the accuracy and rate of production. The intelligent detection of welding line edges to start the weld in a proper position is very important. This work introduces a new approach using image processing to detect welding lines by tracking the edges of plates according to the required speed by three degrees of a freedom robotic arm. The two different algorithms achieved in the developed approach are the edge detection and top-hat transformation. An adaptive neuro-fuzzy inference system ANFIS was used to choose the best forward and inverse kinematics of the robot. MIG welding at the end-effector was applied as a tool in this system, and the weld was completed according to the required working conditions and performance. The parts of the system work with compatible and consistent performances, with acceptable accuracy for tracking the line of the welding path.

Subjects

robotic welding

image processing

ANFIS

line detection

DDC Class

004: Informatik

600: Technik

620: Ingenieurwissenschaften

670: Industrielle Fertigung

Publication version

publishedVersion

Lizenz

https://creativecommons.org/licenses/by/4.0/

Name

computers-11-00155-v2.pdf

Size

1.02 MB

Format

Adobe PDF

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Intelligent robotic welding based on a computer vision technology approach