TY - GEN N2 - 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 2020 International Conference on Robotic Welding, Intelligence and Automation (RWIA2020) in Shanghai and Lanzhou, 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. DO - 10.1007/978-981-19-6149-6 DO - doi AB - 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 2020 International Conference on Robotic Welding, Intelligence and Automation (RWIA2020) in Shanghai and Lanzhou, 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. T1 - Transactions on intelligent welding manufacturing. AU - Chen, Shanben, AU - Zhang, YuMing, AU - Feng, Zhili, CN - TS227.2 N1 - Based on papers selected from the 2020 International Conference on Robotic Welding, Intelligence and Automation, held in Shanghai and Lanzhou, China. N1 - Includes author index. ID - 1453650 KW - Welding SN - 9789811961496 SN - 9811961492 TI - Transactions on intelligent welding manufacturing. LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-6149-6 UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-6149-6 ER -