CB6 Possess and understand knowledge that provides a basis or opportunity to be original in the development and / or application of ideas, often in a research context
CB7 That students know how to apply the knowledge acquired and their ability to solve problems in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their area of study
CB8 That students are able to integrate knowledge and face the complexity of making judgments based on information that, being incomplete or limited, includes reflections on social and ethical responsibilities linked to the application of their knowledge and judgments
CB9 That students know how to communicate their conclusions and the knowledge and ultimate reasons that sustain them to specialized and non-specialized audiences in a clear and unambiguous way
CG1 Knowledge and understanding of the theoretical foundations of both industrial processes and services, and communications.
CG2 Ability to model, identify basic requirements and analyze various processes.
CG6 Capacity to adapt to changes in requirements associated with new products, new specifications and environments.
CE1 Ability to design automatic process systems (production machinery, transport and storage systems and quality control) and the interconnection between their different modules (industrial protocols)
CE2 Ability to integrate and program the different industrial process control systems both from a hardware and software point of view
CE3 Ability to program and simulate robot control systems at high, intermediate and low levels
CE4 Ability to implement and simulate a system of intelligent and flexible control of processes and systems
As a result of the learning, the student will be able to:
- Know the basics of automation of industrial systems and services (non-industrial): structure, industrial communications and systems control.
- Know the basics of collaborative robotics: structure, sensorization, control, programming, paths / outputs, multi- robot systems, industrial applications and services.
- Analyze and synthesize systems using advanced control: identification methods, fuzzy control, control with reference model, learning systems, control with neural networks, predictive control, etc.
- Use of simulation tools of production systems with continuous and discrete parts: lay-out, warehouses, transport, specific machines, delays, etc.
- Design an automated system of low and medium complexity with its cyber-physical components.
In fact thanks to this course:
The subject¿s goal is the acquisition of advanced new concepts of industrial robotics. The subject deals with the industrial robot from the integrated point of view, that is, not as an isolated machine but as a relevant part of a production system. In this way, the programming and control methods for the design of advanced applications are studied.
The student will acquire the necessary knowledge to understand the capabilities and limitations of various advanced applications with industrial robots, multi-robot systems and collaborative robots. The student will also learn to analyze and understand the resources necessary for the integration of robotic systems within an advanced production cell in the context of Industry 4.0.
Each part of the theoretical content of the subject is also developed in a practical way, analyzing the methods and concepts exposed through the study of robotic environments, review of programming methods and integration strategies of real industrial robots, and especially cobots.
At the end of the course, the student must have the ability to understand the technologies integrating the robotic applications that support the concept of Industry 4.0 for the functional design and the implementation of disruptive solutions.