Datos Identificativos 2022/23
Asignatura (*) Vehículos Marinos Autónomos Código 730542017
Titulación
Master Universitario Erasmus Mundus en Sostibilidade e Industria 4.0 aplicada ao Sector Marítimo
Descriptores Ciclo Periodo Curso Tipo Créditos
Máster Oficial 2º cuatrimestre
Primero Optativa 6
Idioma
Inglés
Modalidad docente Presencial
Prerrequisitos
Departamento Ciencias da Computación e Tecnoloxías da Información
Matemáticas
Coordinador/a
Bellas Bouza, Francisco Javier
Correo electrónico
francisco.bellas@udc.es
Profesorado
Bellas Bouza, Francisco Javier
Orjales Saavedra, Félix
Correo electrónico
francisco.bellas@udc.es
felix.orjales@udc.es
Web http://http://www.master-seas40.unina.it
Descripción general The main objective of the course is to provide the students with an updated vision of autonomous marine vehicles, both surface and underwater systems. The topics are mainly focused on providing students with the basics of intelligent control systems in marine environments. In addition, it will also provide a technical and regulatory approach to the field of robotics within this scope. In order to obtain these goals, and apart from the theoretical basis, students will work with simulated and real marine vehicles, thus developing the skills needed to tackle the implementation of real autonomous marine robots.

Competencias del título
Código Competencias del título
A4 CE4 – Demonstrate knowledge, understanding and competences in the field of design and operation of robots and marine autonomous vehicles (RAS).
B2 CB6 - Acquire and understand knowledge that provides a basis or opportunity to be original in the development and / or application of ideas, usually in a research context.
B3 CB7 - That students know how to apply the acquired knowledge and their ability to solve problems in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their area of study.
B4 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 the social and ethical responsibilities linked to the application of their knowledge and judgments.
B5 CB9 – That students are able to communicate their conclusions -and the knowledge and ultimate reasons that sustain them- to specialized and non-specialized publics in a clear and unambiguous way.
B6 CB10 - That students have the learning skills that allow them to continue studying in a way that will be largely self-directed or autonomous.
B7 CG1 – To display the adequate intercultural competence to successfully navigating within multicultural learning environments and to implement basic management principles suitable for a multicultural working environment.
B8 CG2 – To express an attitude of intellectual inquisitiveness and open-mindedness.
B9 CG3 – To have the capability to use knowledge, skills, ideas, theory, and modern engineering concepts to create new or significantly improved real engineering applications.
B11 CG5 – To have the capability to identify, formulate and solve engineering problems within realistic constraints.
B13 CG7 – To have the capability to critically analyse, synthesise, interpret and summarise complex scientific processes.
C2 CT2 - Mastering oral and written expression in a foreign language.
C3 CT3 - Using ICT in working contexts and lifelong learning.
C4 CT4 - Acting as a respectful citizen according to democratic cultures and human rights and with a gender perspective.
C6 CT6 - Acquiring skills for healthy lifestyles, and healthy habits and routines.
C7 CT7 -Developing the ability to work in interdisciplinary or transdisciplinary teams in order to offer proposals that can contribute to a sustainable environmental, economic, political and social development.

Resultados de aprendizaje
Resultados de aprendizaje Competencias del título
Capacity for applying mathematical and ICT methods and tools to define, design, operate and maintain advanced marine robotic systems and for understanding and developing the needed algorithms and methods. BM1
BM2
BM3
BM4
BM5
BM6
BM7
BM10
BM12
CM2
CM3
CM4
CM6
CM7
Understanding the difference between autonomous and non-autonomous operation in robotics, and how it fits into the Artificial Intelligence field AM4
BM3
BM5
BM7
BM12
CM4
Acquiring the knowledge about sensors and actuators relevant in marine vehicles to provide them with autonomous capabilities AM4
BM1
BM3
BM5
BM7
BM12
CM4
CM6
CM7
Understanding the fundamentals of autonomous robotic control, and how classical techniques are very important to achieve a proper response. Being able to apply these concepts in navigation tasks AM4
BM1
BM2
BM3
BM5
BM7
BM12
CM3
CM4
CM6
CM7
Capacity for using a marine vehicle simulator and programming it, including all the previous knowledge about sensors, actuators and autonomous/classical control AM4
BM2
BM3
BM5
BM6
BM7
BM8
BM10
BM12
CM3
CM6
CM7

Contenidos
Tema Subtema
Topic 1. Introduction to autonomous vehicles - Artificial Intelligence
- Autonomous vehicles
- Autonomous marine vehicles
- Regulatory issues
Topic 2. Sensors and actuators in marine vehicles - Sensors:
-- Sound based (Sonar, DVL, range finders...)
-- Vision and laser based (Cameras, LIDAR...)
-- Inertial Measurement Units (IMU)
-- GNSS and alternative positioning systems
- Actuators:
-- Thrusters and alternative propulsion methods
-- Arms and grippers
Topic 3. Autonomous control - Open loop control
- Closed loop control
- PID
- Intelligent architectures
-- Reactive
-- Deliberative
-- Hybrid
Topic 4. Autonomous navigation - Localization
- Mapping
- Path planning
Topic 5. Programming underwater vehicles - Gazebo simulation model
- Programming framework
- Real underwater vehicle

Planificación
Metodologías / pruebas Competéncias Horas presenciales Horas no presenciales / trabajo autónomo Horas totales
Prácticas a través de TIC B3 B6 B8 C3 C6 18 18 36
Sesión magistral B2 B4 B6 C4 C6 18 9 27
Trabajos tutelados A4 B3 B4 B5 B6 B7 B8 B9 B11 B13 C2 C3 C7 0 55 55
Salida de campo A4 B3 B7 B9 B11 B13 C4 C7 4 8 12
Prueba mixta A4 B4 B5 B6 B11 B13 C2 2 16 18
 
Atención personalizada 2 0 2
 
(*)Los datos que aparecen en la tabla de planificación són de carácter orientativo, considerando la heterogeneidad de los alumnos

Metodologías
Metodologías Descripción
Prácticas a través de TIC Practical classes carried out in the ICT lab, with the objective of learning how to program an autonomous marine vehicle (real or simulated) to develop a simple mission. In these classes, the teacher will help students to properly understand the topics
Sesión magistral Masterclass where teachers explain the theoretical concepts of the topics, and students can ask questions.
Trabajos tutelados Autonomous work where students must solve some challenge involving programming an autonomous marine vehicle to solve a task. There can be one of incremental complexity or more than one with independent objectives. In this methodology, students will be organised in groups, so they will have to collaborate to achieve the goal.
Salida de campo A field trip will be made to the UDC ship model basin to analyse the real conditions of the environment where the ROV operates
Prueba mixta Written or oral examination where students will show their understanding of the theoretical concepts of the subject.

Atención personalizada
Metodologías
Prácticas a través de TIC
Trabajos tutelados
Descripción
In the practical workshops, the teacher will supervise the students' progress and help them with all the issues that could arise.

In the supervised projects, students will have the option of asking their questions and doubts to the teachers while developing their project autonomously.

Evaluación
Metodologías Competéncias Descripción Calificación
Prueba mixta A4 B4 B5 B6 B11 B13 C2 Students will have to show their knowledge and understanding of the theoretical concepts of the subject by means of a written or oral activity 30
Trabajos tutelados A4 B3 B4 B5 B6 B7 B8 B9 B11 B13 C2 C3 C7 One or more incremental projects will be proposed throughout the course focused on solving realistic problems with autonomous marine problems using real or simulated robots. These tasks will be developed autonomously by the student outside the classroom and must be defended in front of the teachers. 60
Salida de campo A4 B3 B7 B9 B11 B13 C4 C7 The correct preparation, execution and understanding of the field trip will be assessed by the teachers of the subject. Students must prepare a report which will be evaluated. 10
 
Observaciones evaluación
In order to pass this subject, a minimum score of 50 must be obtained by adding all the above methodologies, there being no minimum in any of them. If the student does not pass the subject in the ordinary exam, he/she will have to repeat the necessary activities of the methodology/s that were not passed in the extraordinary exam.


Fuentes de información
Básica Geoff Roberts and Robert Sutton (2006). Advances in unmanned marine vehicles. Institution of Engineering and Technology
Thor I. Fossen (2011). Handbook of Marine Craft Hydrodynamics and Motion Control. John Wiley & Sons
Dronekit (2015). https://dronekit-python.readthedocs.io/en/latest/.
Robin R. Murphy (2000). Introduction to AI Robotics. A Bradford Book

Complementária Joseph, Lentin (2015). Learning robotics using Python : design, simulate, program, and prototype an interactive autonomous mobile robot from scratch with the help of Python, ROS, and Open-CV. Packt Publishing


Recomendaciones
Asignaturas que se recomienda haber cursado previamente
Marco Reglamentario para la Industria Marítima 4.0/730542001
Robótica y Robótica Submarina/730542007

Asignaturas que se recomienda cursar simultáneamente
Internet de las Cosas Aplicado a la Industria (IIoT)/730542015
Tecnologías Facilitadoras de la Industria 4.0/730542010

Asignaturas que continúan el temario

Otros comentarios
The delivery of the documentary work carried out in this subject:

- It will be requested in virtual format and/or computer support.
- It will be done through Moodle, in digital format without the need to print them.

 To be done on paper:
- No plastics will be used.
- Double-sided printing.
- Recycled paper shall be used.
- The printing of drafts shall be avoided.


(*) La Guía Docente es el documento donde se visualiza la propuesta académica de la UDC. Este documento es público y no se puede modificar, salvo cosas excepcionales bajo la revisión del órgano competente de acuerdo a la normativa vigente que establece el proceso de elaboración de guías