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Robotic Welding, Intelligence and Automation

RWIA’2010

  • Conference proceedings
  • © 2011

Overview

  • Scientific outcome of the 2010 International Conference on Robotic Welding, Intelligence and Automation (RWIA'2010) held in Shanghai, on Oct. 16-18, 2010
  • Recent research in robotic welding, intelligence and automation
  • Written by leading experts in this field

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 88)

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About this book

This book shows some contributions presented in the 2010 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2010), Oct. 14-16, 2010, Shanghai, China.

Welding handicraft is one of the most primordial and traditional techniques, mainly by manpower and human experiences. Weld quality and efficiency are, therefore, straightly limited by the welder’s skill. In the modern manufacturing, automatic and robotic welding is becoming an inevitable trend. In recent years, the intelligentized techniques for robotic welding have a great development. The current teaching play-back welding robot is not with real-time functions for sensing and adaptive control of weld process. Generally, the key technologies on Intelligentized welding robot and robotic welding process include computer visual and other information sensing, monitoring and real-time feedback control of weld penetration and pool shape and welding quality. Seam tracking is another key technology for welding robot system. Some applications on intelligentized robotic welding technology is also described in this book, it shows a great potential and promising prospect of artificial intelligent technologies in the welding manufacturing.

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Keywords

Table of contents (60 papers)

  1. Intelligent Techniques for Robotic Welding

  2. Sensing of Arc Welding Processing

Editors and Affiliations

  • Washington University, St. Louis, USA

    Tzyh-Jong Tarn

  • Intelligentized Robotic Welding Technology Laboratory, School of Materials Sci. and Engg, Shanghai, P.R. China

    Shan-Ben Chen

  • School of Engineering, University of Western Sydney, Australia

    Gu Fang

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