Experiments on automatic seam detection for a MIG welding robot

Mitchell Dinham; Gu Fang; Jia Ju Zou

doi:10.1007/978-3-642-23887-1_49

Experiments on automatic seam detection for a MIG welding robot

Mitchell Dinham
, Gu Fang
, Jia Ju Zou

School of Engineering, Design & Built Environment

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

19 Citations (Scopus)

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.

Original language	English
Title of host publication	Artificial Intelligence and Computational Intelligence: Third International Conference, AICI 2011, Taiyuan, China, September 24-25, 2011: Proceedings, Part II
Publisher	Springer
Pages	390-397
Number of pages	8
ISBN (Print)	9783642238864
DOIs	https://doi.org/10.1007/978-3-642-23887-1_49
Publication status	Published - 2011
Event	International Conference on Artificial Intelligence and Computational Intelligence - Duration: 1 Jan 2011 → …

Publication series

Name
ISSN (Print)	0302-9743

Conference

Conference	International Conference on Artificial Intelligence and Computational Intelligence
Period	1/01/11 → …

Access to Document

10.1007/978-3-642-23887-1_49

Cite this

@inproceedings{db22ed5f527442ac89df683c53d952b7,

title = "Experiments on automatic seam detection for a MIG welding robot",

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.",

author = "Mitchell Dinham and Gu Fang and Zou, \{Jia Ju\}",

year = "2011",

doi = "10.1007/978-3-642-23887-1\_49",

language = "English",

isbn = "9783642238864",

publisher = "Springer",

pages = "390--397",

booktitle = "Artificial Intelligence and Computational Intelligence: Third International Conference, AICI 2011, Taiyuan, China, September 24-25, 2011: Proceedings, Part II",

note = "International Conference on Artificial Intelligence and Computational Intelligence ; Conference date: 01-01-2011",

}

Dinham, M, Fang, G & Zou, JJ 2011, Experiments on automatic seam detection for a MIG welding robot. in Artificial Intelligence and Computational Intelligence: Third International Conference, AICI 2011, Taiyuan, China, September 24-25, 2011: Proceedings, Part II. Springer, pp. 390-397, International Conference on Artificial Intelligence and Computational Intelligence, 1/01/11. https://doi.org/10.1007/978-3-642-23887-1_49

Experiments on automatic seam detection for a MIG welding robot. / Dinham, Mitchell; Fang, Gu ; Zou, Jia Ju.
Artificial Intelligence and Computational Intelligence: Third International Conference, AICI 2011, Taiyuan, China, September 24-25, 2011: Proceedings, Part II. Springer, 2011. p. 390-397.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Experiments on automatic seam detection for a MIG welding robot

AU - Dinham, Mitchell

AU - Fang, Gu

AU - Zou, Jia Ju

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

UR - http://handle.uws.edu.au:8081/1959.7/543388

U2 - 10.1007/978-3-642-23887-1_49

DO - 10.1007/978-3-642-23887-1_49

M3 - Conference Paper

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SP - 390

EP - 397

BT - Artificial Intelligence and Computational Intelligence: Third International Conference, AICI 2011, Taiyuan, China, September 24-25, 2011: Proceedings, Part II

PB - Springer

T2 - International Conference on Artificial Intelligence and Computational Intelligence

Y2 - 1 January 2011

ER -

Experiments on automatic seam detection for a MIG welding robot

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