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Review of Sensors and Its Applications in the Welding Robot

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Robotic Welding, Intelligence and Automation (RWIA 2014)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 363))

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Abstract

The use of sensors is of paramount importance for closing the feedback control loops that secure efficient and automated/autonomous operation of mobile robots in real-life applications. This paper reviews the development of sensing in welding robot and vision sensing for the weld line inspection. The robot requires several types of sensors for balancing and path planning. High accuracy and resolution of these sensors is of paramount importance for successful control of the robot. In this paper we review some of these sensors and evaluate their suitability for use in the robot. Various vision sensors and position sensors are reviewed and their advantages and disadvantages are discussed. These sensors have been incorporated and evaluated.

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Acknowledgment

This project supported by National Natural Science Foundation of China (Grant No. 51405286), and Shanghai Key Laboratory of Power Station Automation Technology (No. 13 DZ2273800).

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Authors and Affiliations

  1. School of Automation Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Xue-Qin Lu & Wen-Ming Liu

  2. School of Material Science and Engineering, Shanghai Jiao Tong University, 200030, Shanghai, China

    Yi-Xiong Wu

Authors
  1. Xue-Qin Lu
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  2. Wen-Ming Liu
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  3. Yi-Xiong Wu
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Corresponding author

Correspondence to Xue-Qin Lu .

Editor information

Editors and Affiliations

  1. Washington University, St. Louis, Missouri, USA

    Tzyh-Jong Tarn

  2. School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

    Shan-Ben Chen

  3. Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand

    Xiao-Qi Chen

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© 2015 Springer International Publishing Switzerland

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Lu, XQ., Liu, WM., Wu, YX. (2015). Review of Sensors and Its Applications in the Welding Robot. In: Tarn, TJ., Chen, SB., Chen, XQ. (eds) Robotic Welding, Intelligence and Automation. RWIA 2014. Advances in Intelligent Systems and Computing, vol 363. Springer, Cham. https://doi.org/10.1007/978-3-319-18997-0_29

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  • DOI: https://doi.org/10.1007/978-3-319-18997-0_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18996-3

  • Online ISBN: 978-3-319-18997-0

  • eBook Packages: EngineeringEngineering (R0)

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