Experiments on automatic seam detection for a MIG welding robot

Mitchell Dinham, Gu Fang, Jia Ju Zou

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    19 Citations (Scopus)

    Abstract

    ![CDATA[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 languageEnglish
    Title of host publicationArtificial Intelligence and Computational Intelligence: Third International Conference, AICI 2011, Taiyuan, China, September 24-25, 2011: Proceedings, Part II
    PublisherSpringer
    Pages390-397
    Number of pages8
    ISBN (Print)9783642238864
    DOIs
    Publication statusPublished - 2011
    EventInternational Conference on Artificial Intelligence and Computational Intelligence -
    Duration: 1 Jan 2011 → …

    Publication series

    Name
    ISSN (Print)0302-9743

    Conference

    ConferenceInternational Conference on Artificial Intelligence and Computational Intelligence
    Period1/01/11 → …

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