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Robotic Welding, Intelligence and Automation
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 Ro...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2015
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-18997-0 http://cds.cern.ch/record/2040772 |
| _version_ | 1780947772683321344 |
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| author | Tarn, Tzyh-Jong Chen, Shan-Ben Chen, Xiao-Qi |
| author_facet | Tarn, Tzyh-Jong Chen, Shan-Ben Chen, Xiao-Qi |
| author_sort | Tarn, Tzyh-Jong |
| collection | CERN |
| description | 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. . |
| id | cern-2040772 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2015 |
| publisher | Springer |
| record_format | invenio |
| spelling | cern-20407722021-04-22T06:46:26Zdoi:10.1007/978-3-319-18997-0http://cds.cern.ch/record/2040772engTarn, Tzyh-JongChen, Shan-BenChen, Xiao-QiRobotic Welding, Intelligence and AutomationEngineeringThe 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. .Springeroai:cds.cern.ch:20407722015 |
| spellingShingle | Engineering Tarn, Tzyh-Jong Chen, Shan-Ben Chen, Xiao-Qi Robotic Welding, Intelligence and Automation |
| title | Robotic Welding, Intelligence and Automation |
| title_full | Robotic Welding, Intelligence and Automation |
| title_fullStr | Robotic Welding, Intelligence and Automation |
| title_full_unstemmed | Robotic Welding, Intelligence and Automation |
| title_short | Robotic Welding, Intelligence and Automation |
| title_sort | robotic welding, intelligence and automation |
| topic | Engineering |
| url | https://dx.doi.org/10.1007/978-3-319-18997-0 http://cds.cern.ch/record/2040772 |
| work_keys_str_mv | AT tarntzyhjong roboticweldingintelligenceandautomation AT chenshanben roboticweldingintelligenceandautomation AT chenxiaoqi roboticweldingintelligenceandautomation |