A supervised learning technique for programming a welding arm robot using vision system
Joint Authors
Ali, Muhammad Husni Muhammad
Atiyyah, Mustafa Rustum
Tulbah, Farid Abd al-Aziz
Source
Issue
Vol. 2019, Issue 162 (30 Jun. 2019), pp.50-64, 15 p.
Publisher
Helwan University Faculty of Engineering Mataria
Publication Date
2019-06-30
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Topics
Abstract EN
The programming of the welding robot is a challenging problem, especially with complex paths.
Extracting path points and suitable welding speed at every path zone is a complicated, time wasting, and costly process.
Moreover, the accuracy of extracting these data at the design stage is affected by the inaccuracies in prewelding processes.
This paper introduces a new supervised learning technique for programming a 4 degree of freedom (DOF) welding arm robot with automatic feeding electrode.
In this technique, a three-dimensional (3D) machine vision system is developed to grasp the welding position and speed of a complex path by monitoring of an expert welding instructor.
Then, these data are used to generate the robot move program.
The proposed technique includes fewer steps and hence less consumed time than the conventional one.
Moreover, it does not need an expert programmer.
From the accuracy point of view, there is no significant difference between the two techniques.
These enhancements will improve the share of robots in welding and similar industries.
American Psychological Association (APA)
Ali, Muhammad Husni Muhammad& Atiyyah, Mustafa Rustum& Tulbah, Farid Abd al-Aziz. 2019. A supervised learning technique for programming a welding arm robot using vision system. Engineering Research Journal،Vol. 2019, no. 162, pp.50-64.
https://search.emarefa.net/detail/BIM-1364624
Modern Language Association (MLA)
Ali, Muhammad Husni Muhammad…[et al.]. A supervised learning technique for programming a welding arm robot using vision system. Engineering Research Journal No. 162 (2019), pp.50-64.
https://search.emarefa.net/detail/BIM-1364624
American Medical Association (AMA)
Ali, Muhammad Husni Muhammad& Atiyyah, Mustafa Rustum& Tulbah, Farid Abd al-Aziz. A supervised learning technique for programming a welding arm robot using vision system. Engineering Research Journal. 2019. Vol. 2019, no. 162, pp.50-64.
https://search.emarefa.net/detail/BIM-1364624
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1364624