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An industrial approach to the use of artificial vision is worked, and we are searching for the improvement of the welding process using a robotic arm. These kinds of robots in the last years have been associated to high accuracy tasks like classification, welding, object manipulation, assembly, and so on. Generally, the artificial vision is not used in works which use manipulator arm; this is normally due to the robot programmer who plans the robot task, which is executed cyclically, however, there are some approaches where different tasks using artificial vision are implemented. In this chapter, we present a retrofitting process of a manipulator welder arm Miller MR-2000, and the development of an artificial vision system, which could be used in the positioning of the machine. The developed system is able to look for areas suitable for the welding task between two pieces of material within a workspace; this process is possible using techniques of computational vision and image processing. Subsequently, the algorithm calculates the number of welding points based on the area identified previously, and finally, it sends the respective coordinates by means of G code to the robot for welding the pieces.

This chapter presents a case study of learning environments that generated a technical description of the reconditioning and commissioning of an industrial robotic arm, specifically from electronic control, mechanical design, and its application in kinematics and programming, as a pedagogical tool that powers education training. Topics are developed in a didactic way in the research hotbed such as the technology implemented to recondition the arm, the modifications that were made in terms of electrical and electronic capabilities, the analysis of the initial state of the existing electrical elements, the new devices to be implemented, and necessary calculations for the reconstruction and adaptation of the arm from the electro-mechanical point of view. It is actually the best way to promote research in the training of the student in the classroom, taking the initiative to access knowledge with the guidance of the teacher to understand the information related to the problem to be solved. The project method allows me to strengthen learning and especially the construction of knowledge of the dual relationship, SENA academy-business and theory-practice, as a training model.

In recent years, the process carried out in the GACIPE research group is related to the development of the base technology of the manufacturing and metalworking industry. The machine tools that are vital for the consolidation and competitiveness of the industry in any country has been approached through two approaches: The design and construction of the new machine. In this aspect, the modeling of the structure and the displacements’ parameterization allows defining the precision of the movements and the rational use of energy. The adaptation and repowering of a used machine. In this approach, the recovery and technological updating proposed to recover its performance, becoming an excellent alternative to improving and perfecting the production of a company. In both cases, the CNC milling machine tools are controlled by free software. The application proposed is mechanized in soft materials.