The robotic welding manufacturing of metal parts is a very important process, especially
in heavy industries such as shipbuilding, oil and gas, automotive, and aerospace. There is a great
variety of different techniques for manufacturing by robotic welding, and the welding operations
are always in a constant process of evolution, as any advance can be significant to avoid defects
during the welding process. Although a great deal of research work has been carried out in recent
years, thanks to which results and reviews have been presented on this subject, the main aim of this
publication is to define and review works that show the advances in the main inspection, modeling,
monitoring, and automated operations during the welding process to avoid, or predictively identify,
any possible defect in order to obtain an optimum degree of quality in the welding.
