Editors:
- 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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Table of contents (60 papers)
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Front Matter
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Intelligent Techniques for Robotic Welding
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Front Matter
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Sensing of Arc Welding Processing
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Front Matter
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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.
Editors and Affiliations
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Washington University, St. Louis, USA
Tzyh-Jong Tarn
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Intelligentized Robotic Welding Technology Laboratory, School of Materials Sci. and Engg, Shanghai, P.R. China
Shan-Ben Chen
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School of Engineering, University of Western Sydney, Australia
Gu Fang
Bibliographic Information
Book Title: Robotic Welding, Intelligence and Automation
Book Subtitle: RWIA’2010
Editors: Tzyh-Jong Tarn, Shan-Ben Chen, Gu Fang
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-3-642-19959-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-19958-5Published: 20 April 2011
Softcover ISBN: 978-3-662-51952-3Published: 23 August 2016
eBook ISBN: 978-3-642-19959-2Published: 25 April 2011
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XII, 506
Topics: Electronics and Microelectronics, Instrumentation, Robotics and Automation, Computational Intelligence, Artificial Intelligence