@article{1449016,
      recid = {1449016},
      author = {Chen, Shanben. and Zhang, YuMing, and Feng, Zhili.},
      title = {Transactions on intelligent welding manufacturing., Volume  IV,: No. 1 2020 /},
      publisher = {Springer,},
      address = {Singapore :},
      pages = {1 online resource (102 pages)},
      year = {2022},
      note = {Includes author index.},
      abstract = {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.},
      url = {http://library.usi.edu/record/1449016},
      doi = {https://doi.org/10.1007/978-981-19-3902-0},
}