Productive robotics for applications in smart factories

Year
1
Academic year
2024-2025
Code
02038361
Subject Area
Intelligent Manufacturing
Language of Instruction
English
Other Languages of Instruction
Portuguese
Mode of Delivery
Face-to-face
ECTS Credits
6.0
Type
Compulsory
Level
Non Degree Course

Recommended Prerequisites

NA

Teaching Methods

The classes will be divided into modules, which include seminars by invited experts, and coordinated by the responsible academic staff member. The objective is to guarantee a high quality training, given by the best experts in each of the subjects, with the necessary coordination to achieve the defined objectives. The responsible teacher will also have the task of defining the projects to be carried out by the students and ensure the work supervision and follow-up.

Learning Outcomes

The production scenario evolved from the collaborative one, where operators and machines must cooperate to achieve a common goal, to hyper-flexible scenarios - where agility is a key issue - aimed at introducing cognitive capabilities in the manufacturing industry. In this context, the objective is to provide skills in programming, HMI devices, high-level programming and use of current engineering resources, namely the ability to program robotic cells simply and naturally, where it is possible to simply tell them, or show them, what they should do. In addition, it is important that some recent technologies are framed and exploited in ways that can be generalized. This course will give special attention to production systems that combine additive technologies with subtractive technologies, since they are a good example of the type of approach previously defined.

Work Placement(s)

No

Syllabus

1. Basic concepts of Industrial Robotics (adapted to according to the students profile);

2. Architectures and programming environments;

3. CAD environments;

4. Mechanisms of HLP - High Level Programming;

5. Human-machine interfaces: examples, available devices and use;

6. Examples of advanced systems: such as systems used in additive manufacturing;

7. Final project in which the concepts developed in the discipline are applied.

Assessment Methods

Assessment
Project: 100.0%

Bibliography

Para cada tópico abordado na unidade curricular será fornecida aos alunos uma lista actualizada de referências bibliográficas relevantes e adequadas ao perfil do aluno. | For each topic addressed in the course students will be provided with an updated list of adequate and relevant bibliographic references.