Experiments on automatic seam detection for a MIG welding robot

Authors:
Mitchell Dinham;Gu Fang;Jia Ju Zou
Affiliations:
School of Engineering, University of Western Sydney, Australia;School of Engineering, University of Western Sydney, Australia;School of Engineering, University of Western Sydney, Australia
Venue:
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
Year:
2011

Citing 4
Cited 1

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Abstract

To make robotic welding more flexible, vision systems are used to detect the weld seam and plan a path for the robot to follow. In this paper an image processing technique is introduced that can automatically detect the weld seam in a "butt-weld" configuration. This method is an improvement on the existing K-Cosine algorithm. The 3D location of weld points is determined using a robot Hand-in-Eye stereo vision system. This paper will also introduce a practical method for robot and Hand/Eye calibration. The validity of these methods will be verified through experiments using a MIG welding robot.