Identifying Data 2022/23
Subject (*) Robotics Code 770G01056
Study programme
Grao en Enxeñaría Electrónica Industrial e Automática
Descriptors Cycle Period Year Type Credits
Graduate 2nd four-month period
 Fourth Optional 4.5
Language
Spanish
Teaching method Face-to-face
Prerequisites
Department Enxeñaría Industrial
Coordinador
Casteleiro Roca, José Luis
 E-mail
jose.luis.casteleiro@udc.es
Lecturers
Casteleiro Roca, José Luis
Meizoso López, Maria del Carmen
 E-mail
jose.luis.casteleiro@udc.es
carmen.meizoso@udc.es
Web
General description Analizaranse os seguintes aspectos relacionados coa robótica:
- Iniciación á robótica e á súa integración con outras tecnoloxías 4.0 ou emerxentes
- Arquitectura e elementos principais dos robots
- Sistemas autónomos móbiles e/ou intelixentes

Study programme competencies
Code Study programme competences
A3 Capacidade para realizar medicións, cálculos, valoracións, taxacións, peritaxes, estudos e informes.
A30 Coñecer e ser capaz de modelar e simular sistemas.
A32 Coñecer os principios e aplicacións dos sistemas robotizados.
A33 Coñecemento aplicado de informática industrial e comunicacións.
B1 Capacidade de resolver problemas con iniciativa, toma de decisións, creatividade e razoamento crítico.
B2 Capacidade de comunicar e transmitir coñecementos, habilidades e destrezas no campo da enxeñaría industrial.
B3 Capacidade de traballar nun contorno multilingüe e multidisciplinar.
B4 Capacidade de traballar e aprender de forma autónoma e con iniciativa.
B5 Capacidade para empregar as técnicas, habilidades e ferramentas da enxeñaría necesarias para a práctica desta.
B6 Capacidade de usar adecuadamente os recursos de información e aplicar as tecnoloxías da información e as comunicacións na enxeñaría.
B7 Capacidade para traballar de forma colaborativa e de motivar un grupo de traballo.
B12 CB5 - Que los estudiantes hayan desarrollado aquellas habilidades de aprendizaje necesarias para emprender estudios posteriores con un alto grado de autonomía.
C1 Expresarse correctamente, tanto de forma oral coma escrita, nas linguas oficiais da comunidade autónoma.
C2 Utilizar as ferramentas básicas das tecnoloxías da información e as comunicacións (TIC) necesarias para o exercicio da súa profesión e para a aprendizaxe ao longo da súa vida.
C5 Valorar criticamente o coñecemento, a tecnoloxía e a información dispoñible para resolver os problemas cos que deben enfrontarse.

Learning aims
Learning outcomes Study programme competences
Understand the importance of robotics in the field of current and emerging industry A32
A33
 B1
B2
B5
B6
B12
 C1
C2
C5
Understand the operating principles of robotics A3
A30
A32
 B4
B7
Ability to use simulation tools and robot programming in a flexible and collaborative industrial environment A30
A32
A33
 B3
B6
B7
Know and manage intelligent autonomous systems A30
A32
A33
 B6
B7

Contents
Topic Sub-topic
Introduction to robotics and integration with other 4.0 or emerging technologies Robotics as an enabling technology in Industry 4.0
Collaborative robotics or cobots
Trends in industrial robotics
Architecture and elements of robotics Morphology
Model and kinematic control
Modeling and dynamic control
Programming
Mobile and/or intelligent autonomous systems Autonomous mobile robots (AMR)

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Guest lecture / keynote speech A32 B1 B2 B12 C1 C5 12 12 24
Problem solving A3 A30 A33 B3 B4 B5 B6 B7 C2 8.5 17 25.5
Laboratory practice A30 A32 A33 B3 B4 B7 B12 C1 C2 C5 11 32 43
Objective test A30 A32 B2 B4 B6 B12 C1 C2 C5 3 15 18
 
Personalized attention 2 0 2
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies Description
Guest lecture / keynote speech Keynote speech complemented with the use of audiovisual media and the introduction of some questions to students, in order to transmit knowledge and facilitate learning.
The order of the topics covered will not have to be the one described in the teaching guide. In addition, there will be topics that can be seen together on the development of others, and the division between them may not be strict.
Problem solving Solving exercises and specific problems in the classroom, from the knowledge explained.
Laboratory practice Performing laboratory practice as far as possible; or, failing that, solving exercises and specific problems in the classroom, from the knowledge explained.
Objective test It consists in carrying out an objective test of approximately 2 hours, in which the acquired knowledge will be evaluated.

Personalized attention
Methodologies
Laboratory practice
Problem solving
Description
The student has the relevant meetings of personalized tutorials, to resolve the concerns arising from the matter.

Assessment
Methodologies Competencies Description Qualification
Laboratory practice A30 A32 A33 B3 B4 B7 B12 C1 C2 C5 Some tasks established in the subject, within the framework of this methodology 30
Objective test A30 A32 B2 B4 B6 B12 C1 C2 C5 Exam type objective test 50
Problem solving A3 A30 A33 B3 B4 B5 B6 B7 C2 Realization of works, exercises and problems 20
 
Assessment comments

As part of the "Laboratory practice" may include aspects such as attendance, attitude, etc., to help obtain the approved. In addition, it may also include in this methodology the assessment of the presentation in class of personal work.

The "Mixed Test" can be divided into a multiple choice part and a few questions.

It will be necessary to exceed 35% of the score in the  multiple choice of the "Mixed Test" to pass.

For the second opportunity, there will be no second deadline for assignments, and the evaluation of "Laboratory practice" will be included in "Mixed test".

The evaluation criteria of the early December call will be the same as those of the second opportunity of the previous year.

Students with recognition of part-time dedication and academic waiver of attendance exemption, second establishes the "NORMA QUE REGULA O RÉXIME DE DEDICACIÓN AO ESTUDO DOS ESTUDANTES DE GRAO NA UDC (Arts. 2.3; 3.b e 4.5) (29/5/212)", will be evaluated in the same way, allowing one more week of margin in the assignments.

Sources of information
Basic Barrientos y otros (2007). Fundamentos de robótica. Mc Graw-Hill
Nikolaus Correll (2020). Introduction to Autonomous Robots. Magellan Scienti c
Ollero Baturone (2001). Manipuladores y Robots móviles. Marcombo
Gerald Cook (2011). Mobile Robots, Navigation, Control and Remote Senssing. IEEE Pres Editorial

Complementary


Recommendations
Subjects that it is recommended to have taken before
Automatic Control Systems/770G01017
Fundamentals of Electronic Circuits/770G01018

Subjects that are recommended to be taken simultaneously
Control Engineering/770G01028
Advanced Control/770G01058

Subjects that continue the syllabus
Graduation Proyect /Bachelor Thesis/770G01045

Other comments

To help achieve an immediate sustainable environment and meet the objective of action number 5: "Healthy and sustainable environmental and social teaching and research" of the "Green Campus Ferrol Action Plan":

1. The delivery of the documentary works that are made in this matter:

   1.1. They will be requested in virtual format and / or computer support

   1.2. They will be made through Moodle, in digital format without the need to print them


(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.