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© 2015

Robotic Welding, Intelligence and Automation

RWIA’2014

  • Tzyh-Jong Tarn
  • Shan-Ben Chen
  • Xiao-Qi Chen

Benefits

  • Recent research in robotic welding, intelligence and automation

  • Scientific outcome of the 2014 International Conference on Robotic Welding, Intelligence and Automation (RWIA'2014) held in Shanghai, on Oct. 16-18, 2014

  • Reflects the present and future of advanced welding robots, robotic welding, artificial intelligent and automatic welding

Conference proceedings RWIA 2014

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

Table of contents

  1. Front Matter
    Pages i-xii
  2. Intelligent Techniques for Robotic Welding

    1. Front Matter
      Pages 1-1
    2. Shan-Ben Chen
      Pages 3-34
    3. Hu Lan, Hua-Jun Zhang, De-Long Zhao, A-Jing Chen, Shang-Yang Lin
      Pages 35-45
    4. Fu-Qiang Liu, Zong-Yi Wang, Xing-Jian Wang, Yu Ji
      Pages 47-56
    5. Jian Le, Hua Zhang, Fei Wu, Feng-Yu Yuan
      Pages 57-65
    6. Xing-Wang Wen, Li-Qin Li, Ying Jing, Li-Hong Yan, Li-Bin Zhao, Jin-Liang Zhang
      Pages 67-76
    7. Xue-Wu Wang, Ying-Pan Shi, Xing-Sheng Gu, Dong-Yan Ding
      Pages 77-86
    8. Yangchun Yu, Yanling Xu, Guodong Xu, Ajing Chen, Shanben Chen
      Pages 87-94
    9. Zhen Ye, Hua-Bin Chen, Fang Gu, Shan-Ben Chen
      Pages 95-107
    10. Yang-Chun Yu, Kong Bao, Yan-Ling Xu, A-Jing Chen, Hua-Jun Zhang, Shan-Ben Chen
      Pages 109-117
    11. Jing-Bo Wang, Tatsuyuki Nakagawa, Yasushi Mukai, Hitoshi Nishimura, Makoto Ryudo, Atsuhiro Kawamoto
      Pages 119-131
    12. Yiming Huang, Zhifeng Zhang, Na Lv, Shanben Chen
      Pages 133-143
    13. Jing-Jie He, Su Wang, Xin-Gang Miao
      Pages 159-166
    14. Xin-Gang Miao, Feng Zhang, Zhi-Feng Ma, Yi Zhang
      Pages 167-173
  3. Sensing of Arc Welding Processing

    1. Front Matter
      Pages 213-213

About these proceedings

Introduction

The primary aim of this volume is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation. The book is mainly based on papers selected from the 2014 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2014), held  Oct. 25-27, 2014, at Shanghai, China. The articles show that the intelligentized welding manufacturing (IWM) is becoming an inevitable trend with the intelligentized robotic welding as the key technology. The volume is divided into four logical parts: Intelligent Techniques for Robotic Welding, Sensing of Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, as well as Intelligent Control and its Applications in Engineering.

 

Keywords

Advanced Welding Robots Automatic Welding Intelligent Welding Manufacturing RWIA Robotic Welding

Editors and affiliations

  • Tzyh-Jong Tarn
    • 1
  • Shan-Ben Chen
    • 2
  • Xiao-Qi Chen
    • 3
  1. 1.Washington UniversitySt. LouisUSA
  2. 2.School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghaiChina
  3. 3.Department of Mechanical EngineeringUniversity of CanterburyChristchurchNew Zealand

Bibliographic information

  • Book Title Robotic Welding, Intelligence and Automation
  • Book Subtitle RWIA’2014
  • Editors Tzyh-Jong Tarn
    Shan-Ben Chen
    Xiao-Qi Chen
  • Series Title Advances in Intelligent Systems and Computing
  • Series Abbreviated Title Advs in Intelligent Syst., Computing
  • DOI https://doi.org/10.1007/978-3-319-18997-0
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Softcover ISBN 978-3-319-18996-3
  • eBook ISBN 978-3-319-18997-0
  • Series ISSN 2194-5357
  • Series E-ISSN 2194-5365
  • Edition Number 1
  • Number of Pages XII, 640
  • Number of Illustrations 403 b/w illustrations, 52 illustrations in colour
  • Topics Computational Intelligence
    Artificial Intelligence
    Robotics and Automation
  • Buy this book on publisher's site
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