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Automation and Robotic

Code: LEM32238     Sigla: AR

Áreas Científicas
Classificação Área Científica
OFICIAL Controlo de Processos

Ocorrência: 2022/2023 - 2S

Ativa? Yes
Página Web: https://teams.microsoft.com/l/team/19%3arrQIAnA0Qny0K-bKBGpkv-biTwtwgZMH_Cc9_wcyDJM1%40thread.tacv2/conversations?groupId=5eeebccc-33c4-46d3-a9e7-b131f84bde09&tenantId=ad28c625-f2ca-4e91-b6d6-18922bc9391c
Unidade Responsável: Departamento de Sistemas e Informática
Curso/CE Responsável:

Ciclos de Estudo/Cursos

Sigla Nº de Estudantes Plano de Estudos Anos Curriculares Créditos UCN Créditos ECTS Horas de Contacto Horas Totais
EM 41 Plano de Estudos 3 - 3 45 81

Docência - Responsabilidades

Docente Responsabilidade
Paulo Alexandre Fernandes Ferreira

Docência - Horas

Theorethical and Practical : 1,50
Practical and Laboratory: 1,50
Type Docente Turmas Horas
Theorethical and Practical Totais 1 1,50
Paulo Alexandre Fernandes Ferreira 1,50
Practical and Laboratory Totais 2 3,00
Sérgio Fernando Pereira Delgado de Sousa 1,50
Paulo Alexandre Fernandes Ferreira 1,50

Língua de trabalho

Portuguese

Objetivos

Have skills in programming automated systems, namely Programmable Automata and Robot Manipulators and know the most used technologies in Automation and Robotics.
Know Automation systems in Industry 4.0.

 

Resultados de aprendizagem e competências

At the end of the course students should know the constitution of an Automatic System, its structure and operation as well as the different technologies. They should know how to use sequential systems design methodologies and describe the operation of automations through a graphical language - GRAFCET.

The student should know the constitution of a Programmable Automaton and its applicability in the areas of the course as well as its programming.

Students should know the different types of robots, from furniture to handlers and their applications and safety standards.

Students should know the procedures involved in the integration of robots in the production lines within Industry 4.0. cooperative robotics and vision systems. By the end of the course you should have acquired skills in task planning such as defining robot path planning and programming manipulative robots.

Students should plan to develop an automated process and develop an operating guide in English.

Modo de trabalho

Presencial

Programa

 

Automation in Production Systems. Modern Production Systems. Information systems.

Boole Algebra. Representation, simplification and implementation of logical functions.

Technologies associated with the processes used in Automation.

Description of the operation of automations - GRAFCET.

Constitution and operation of Programmable Automata.

Programming of Programmable Automata. Programming languages.

Robotics

Robotic systems. Integration of robots in robotic cells and safety standards.

Vision Systems and Intelligent Robotics.

Kinematics of a Robot

Robot Programming.

Robotics in Industry 4.0.

Bibliografia Obrigatória

Rogerio caldas Pinto; Técnicas de Automação, João Rogério Caldas Pinto; ETEP- Lidel, 2018. ISBN: 972-8480-07-5; , Lidel, 2018. ISBN: ISBN: 972-8480-07-5;
Paulo Ferreira; Apontamentos Automação e Robótica, 2017
João Caldas Pinto; Automação e Controlo Industrial,, Lidel, 2019. ISBN: 2019. ISBN: 978-989-752-412-7

Métodos de ensino e atividades de aprendizagem

The practical classes are complemented with laboratory classes where the theoretical concepts are applied and the exercises previously performed in the practical classes are implemented.

Successfully completing the course unit the student should understand the theoretical and practical principles of automation and robotics systems, namely the programming of robots and programmable automata.

For this purpose, the student in practical classes studies different types of processes, models them and develops programs for their automation with automata and robotic manipulators.
In laboratory classes, the student programs programmable automata and manipulator robots interacting with different peripherals to perform different tasks.

Tipo de avaliação

Distributed evaluation without final exam

Componentes de Avaliação

Designation Peso (%)
Teste 70,00
Trabalho laboratorial 30,00
Total: 100,00

Componentes de Ocupação

Designation Tempo (Horas)
Estudo autónomo 36,00
Frequência das aulas 22,50
Trabalho laboratorial 22,50
Total: 81,00

Obtenção de frequência

2 tests and attendance of at least 75% of laboratory classes with success (grade equal to or greater than 9.5).

Fórmula de cálculo da classificação final

The final grade (NF) is calculated considering a weight of 70% for the theoretical assessment grade (NT) and 30% for the laboratory assessment grade (NL).

NF = 0.7*NT + 0.3NL;

It is mandatory that each of these components have a score greater than or equal to 9.5 values.
The NT grade is obtained by performing two tests with a weight of 35% for each of them. If you do not obtain an average in the tests equal to or greater than 9.5, the final evaluation will be based on the grade of a written test, which has a weight of 70% and the remaining 30% are obtained through laboratory evaluation.

Observações

The UC support elements, namely software, are available in Teams.
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