Robotic Welding, Intelligence and Automation  RWIA'2014 /  [electronic resource] : 
edited by Tzyh-Jong Tarn, Shan-Ben Chen, Xiao-Qi Chen. 
 - XII, 640 p. 455 illus., 52 illus. in color.  online resource. 
 - Advances in Intelligent Systems and Computing,  363  2194-5357 ; .
 - Advances in Intelligent Systems and Computing,  363 .
<br/><br/>Part 1:  Intelligent Techniques for Robotic Welding -- Part 2: Sensing of Arc Welding Processing -- Part 3: Modeling and Intelligent Control of Welding Processing -- Part 4: Intelligent Control and its Applications in Engineering. 
<br/><br/> 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.  . 
<br/><br/><label>ISBN: </label>9783319189970 
<br/><br/><label>Standard No.: </label>10.1007/978-3-319-18997-0  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Engineering.<br/>Artificial intelligence.<br/>Computational intelligence.<br/>Robotics.<br/>Automation.<br/>Engineering.<br/>Computational Intelligence.<br/>Artificial Intelligence (incl. Robotics).<br/>Robotics and Automation.
<br/><br/><label>LC Class. No.: </label>Q342 
<br/><br/><label>Dewey Class. No.: </label>006.3