Identifying Data 2024/25
Subject (*) Autonomous Vehicles: Advanced Code 730556016
Study programme
Máster Universitario en Informática Industrial e Robótica (Plan 2024)
Descriptors Cycle Period Year Type Credits
Official Master's Degree 2nd four-month period
First Optional 3
Language
Spanish
Galician
Teaching method Face-to-face
Prerequisites
Department Ciencias da Computación e Tecnoloxías da Información
Enxeñaría Naval e Industrial
Matemáticas
Coordinador
Bellas Bouza, Francisco Javier
E-mail
francisco.bellas@udc.es
Lecturers
Bellas Bouza, Francisco Javier
Orjales Saavedra, Félix
E-mail
francisco.bellas@udc.es
felix.orjales@udc.es
Web
General description O obxectivo desta materia é proporcionar aos alumnos unha visión actualizada dos principais campos de aplicación dos vehículos autónomos a nivel técnico, pero tamén a nivel lexislativo e ético. Con esta base teórica, os alumnos adquirirán unha visión actualizada dos diferentes ámbitos a considerar cando se afronta a implantación deste tipo de vehículos en diferentes ámbitos da industria e a sociedade. A nivel práctico, estudaranse con detemento dous campos de maneira particular: os vehículos mariños e os aéreos.

Competencies / Study results
Code Study programme competences / results
A17 COMP17 - Capacidad para alcanzar la optimización, eficiencia y sostenibilidad en el desarrollo de sistemas robóticos y/o industriales y/o metaheurísticos.
A23 CON05 - Adquirir un entendimiento profundo de los principios básicos de la robótica y las tecnologías innovadoras en automatización.
A26 CON08 - Identificar las estructuras mecánicas básicas y avanzadas con las que se construyen las distintas morfologías robóticas, así como las claves y parámetros de su comportamiento, y los modelos cinemáticos y dinámicos de robots.
A53 OPT-COMP10 - Avaliar as problemáticas que se van tratar nos diversos campos de aplicación e como afrontalas.
A57 OPT-COMP14 - Explicar conceptos y técnicas básicas relacionadas con el seguimiento de objetos en movimiento.
A69 OPT-CON10 - Identificar o estado actual da aplicación de robots autónomos así como os aspectos éticos e legais.
A73 OPT-CON14 - Identificar as principais técnicas para extraer información e interpretar obxectos a partir de imaxes dixitais, segmentalas e extraer as súas características.
A87 OPT-HAB10 - Analizar a aplicabilidade real do enfoque autónomo da robótica fronte ao clásico.
A91 OPT-HAB14 - Analizar e experimentar cos tipos de técnicas e ferramentas que se poden aplicar na resolución problemas característicos de visión artificial na industria.

Learning aims
Learning outcomes Study programme competences / results
To learn about the current state of the art in the application of autonomous robots in real problems and to get an overview of the real applicability of the autonomous approach to robotics versus the classical one. AR17
AR23
AR26
Obtain a specific view of the problems to be addressed in the various fields of application and how to tackle them. AR53
AR87
AR57
AR69
AR73
AR91

Contents
Topic Sub-topic
Application fields of autonomous vehicles - Industry 4.0, nano robotics and manipulation
- Service robotics and medical robotics
- Agriculture
Legal and ethical aspects of autonomous vehicles - Legal aspects at European level
- Ethical aspects
- Situation in Spain
Application field 1: unmanned aerial vehicles (UAV) - Evolution and types of UAVs
- Sensorisation
- Processing
- Control
- Use cases
Application field 2: autonomous underwater vehicles (AUV) - Underwater vehicle types and characteristics
- Sensorisation
- Motion control
- Actuation
- Applications

Planning
Methodologies / tests Competencies / Results Teaching hours (in-person & virtual) Student’s personal work hours Total hours
Supervised projects A17 A23 A26 A57 A73 A91 0 30 30
Oral presentation A53 A69 A87 2.5 7.5 10
Workshop A23 A57 A73 A91 6 2.25 8.25
Field trip A17 A26 4.5 6.75 11.25
Guest lecture / keynote speech A53 A69 A87 10.5 3 13.5
 
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
Supervised projects Carrying out a work/project outside the classroom in which programming practices will be carried out using a simulator or a real robot. This work will be carried out autonomously by the students and their progress will be tutored by the teachers.
Oral presentation Theoretical report or similar on a topic proposed by the subject teachers, which must be presented in front of classmates and also handed in in writing.
Workshop Seminars in which students are trained on the tools to be used in the practical part of the subject, such as simulators or programming libraries.
Field trip There will be several field trips to the Esteiro Campus towing tank, where students will have to test the real operation of autonomous marine vehicles.
Guest lecture / keynote speech Oral presentation of the theoretical syllabus by the teachers of the course.

Personalized attention
Methodologies
Oral presentation
Workshop
Supervised projects
Field trip
Description
The aim is to guide the student in those questions related to the subject taught and that are of special difficulty for its understanding or realization. The channels of information and contact will be e-mail, Campus Virtual and Teams. The individualized meetings that are developed during the hours of tutoring established by the teacher.

During the practical work through ICT, the student will be able to consult the teacher about all the doubts that may arise regarding the programming of the robots.

Tutored work: we recommend the use of personalised attention in these activities to resolve conceptual or procedural doubts that may arise during the resolution of practical problems. In addition, personalised attention will also focus on the student's explanation of the proposed solution.

Oral presentation: students will have to go to the teachers to resolve any doubts they may have about the preparation of the work to be presented, both in terms of the content and the presentation itself.

Assessment
Methodologies Competencies / Results Description Qualification
Oral presentation A53 A69 A87 The oral presentation of the theoretical work/works, the written version of the same and the active participation in the presentations of the classmates have an important weight in the final grade of the course. 30
Supervised projects A17 A23 A26 A57 A73 A91 One or two practical projects will be proposed throughout the course focusing on the resolution of underwater and/or aerial robotics problems. These tasks will be developed autonomously by the student outside of class and must be defended in front of the lecturers. 60
Field trip A17 A26 Correct preparation and participation in field trips will be assessed by the subject teachers and must be explained in a written report. 10
 
Assessment comments

First opportunity:

To pass the course on the first occasion, a minimum score of 50 must be achieved by adding up all the previous methodologies, being necessary to obtain a minimum of 35 in the sum of the Supervised Work and the Field Trip, and 15 in the Oral Presentation.

Second opportunity:

If the student does not pass the subject on the first occasion, he/she must repeat the activities that are necessary from the method/ies that were not passed in the second call. For example, if a student passed the Oral Presentation part, but failed the Supervised Work + the Field Trip, he/she must repeat the practical work necessary to pass the course, normally those that were not individually passed.

In the second opportunity, the minimum grade criteria established in the first call are maintained.

Early opportunity:

For this opportunity, the same criteria are maintained as for the first, with the student having to specify delivery deadlines with the subject teachers.

Students with part-time registration or academic exemption:

They will be able to accumulate 10% of the corresponding grade for the Field Trip in the supervised works in both calls. This modification must be requested from the professors of the subject at the beginning of the semester. Likewise, if they cannot make the oral presentation with the rest of the students, they must arrange an alternative date with the professors in all calls.

All regulatory aspects related to “academic exemption”, “dedication to study”, “permanence” and “academic fraud” will be governed in accordance with the current academic regulations of the UDC (https://www.udc.es/es/normativa/academica/)


Sources of information
Basic Nonami, K., Kendoul, F., Suzuki, S., Wang, W., Nakazawa (2010). Autonomous Flying Robots, Unmanned Aerial Vehicles and Micro Aerial Vehicles. Springer-Verlag
Thor I. Fossen (2011). Handbook of Marine Craft Hydrodynamics and Motion Control. John Wiley & Sons, Ltd
Dronekit (2015). https://dronekit-python.readthedocs.io/en/latest/.
Bruno Siciliano (2008). Springer handbook of robotics. Springer-Verlag

Complementary Geoff Roberts and Robert Sutton (2006). Advances in unmanned marine vehicles. Institution of Engineering and Technology
Floreano, Dario y otros (2010). Flying Insects and Robots. Springer-Verlag


Recommendations
Subjects that it is recommended to have taken before
Smart Robotics and Autonomous Systems/770538005
Autonomous Vehicles: Introductory/730556015
Introduction to Python for Engineers/730556010
Artificial Vision: Introductory/730556019

Subjects that are recommended to be taken simultaneously
Artificial Vision: Advanced/730556020

Subjects that continue the syllabus

Other comments
1.- The delivery of the documentary works that are carried out in this subject:

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

• 1.2. It will be done through Moodle, in digital format without the need to print them

• 1.3. If done on paper:

- No plastic will be used.

- Double-sided printing will be done.

- Recycled paper will be used.

- Printing drafts will be avoided.

2.- Sustainable use of resources must be made and negative impacts on the natural environment must be prevented.

3.- The importance of ethical principles related to the values ??of sustainability in personal and professional behavior must be taken into account.

4.- According to the different regulations applicable to university teaching, the gender perspective must be incorporated in this matter (non-sexist language will be used, bibliography by authors of both sexes will be used, the intervention of male and female students in class will be encouraged...).

5.- Work will be done to identify and modify sexist prejudices and attitudes, and the environment will be influenced to modify them and promote values ??of respect and equality.

6. Situations of discrimination based on gender must be detected and actions and measures will be proposed to correct them.

7. The full integration of students who, for physical, sensory, psychological or sociocultural reasons, experience difficulties in having suitable, equal and beneficial access to university life will be facilitated.


(*)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.