Paper Info
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.
Year
DOI
Venue
2011
10.1007/978-3-642-23887-1_49
AICI (2)
Keywords
Field
DocType
practical method,robot hand-in-eye stereo vision,image processing technique,weld seam,existing k-cosine algorithm,mig welding robot,eye calibration,robotic welding,vision system,automatic seam detection,weld point,stereo vision
Computer vision,Stereopsis,Computer science,Image processing,Artificial intelligence,Robot,Gas metal arc welding,Robot welding,Welding,Calibration
Conference
Volume
ISSN
Citations 
7003
0302-9743
2
PageRank 
References 
Authors
0.43
6
3
Name
Order
Citations
PageRank
Mitchell Dinham181.68
Gu Fang216216.95
Ju Jia Zou319820.00