Skip to main navigation Skip to search Skip to main content

Simultaneous calibration of a stereo vision system and a welding robot : an automated approach

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

Abstract

For a vision guided industrial robot to be used in a production environment effectively and efficiently, it is important that such a system can be quickly and accurately calibrated. The work presented in this paper aims to develop a new method for calibrating a vision guided arc welding robot. This is achieved through automated calibration of the cameras and the optimised simultaneous calibration of a robot arm and robot mounted stereo vision system. The developed method can be implemented in practice and with minimum human intervention. The automatic calibration algorithm not only allows for a faster initial calibration, but also reduces the machine down-time for any subsequent calibrations after an accidental collision or if the camera fixture is relocated. Experimental results show that the proposed method can achieve the required accuracy for robotic arc welding applications.
Original languageEnglish
Title of host publicationRobotic Welding, Intelligence and Automation, RWIA’2014, October 25-27, 2014, Shanghai, China
PublisherSpringer
Pages197-211
Number of pages15
ISBN (Print)9783319189963
DOIs
Publication statusPublished - 2015
EventInternational Conference on Robotic Welding, Intelligence and Automation -
Duration: 25 Oct 2014 → …

Publication series

Name
ISSN (Print)2194-5357

Conference

ConferenceInternational Conference on Robotic Welding, Intelligence and Automation
Period25/10/14 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • automation
  • robotics
  • welding

Fingerprint

Dive into the research topics of 'Simultaneous calibration of a stereo vision system and a welding robot : an automated approach'. Together they form a unique fingerprint.

Cite this