Competencies and objectives

 

Course context for academic year 2023-24

Esta asignatura es optativa de cuarto curso del grado de Ingeniería en Informática, dentro de la especialización de Computación. Profundiza en los métodos de visión artificial que previamente se han aprendido en la asignatura Sistemas Inteligentes. Una vez vistos estos métodos, se integrarán con conceptos relacionados con la robótica móvil (localización, mapeado, etc.) que permitirá una combinación potente y actual de los sistemas robóticos con información visual.

Se introducen ciertas técnicas que permitirán al alumno profundizar su currículum hacia una línea de investigación, abriendo camino a másteres orientados a dicha línea.

 

 

Course content (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2023-24

Specific Competences (Specific Technology):>>Computer Science

  • CEC1 : Capacity to have a deep understanding of the basic principles and models of computing and know how to apply them to interpret, select, value, model and create new computer-related concepts, theories, uses and technological developments.
  • CEC4 : Capacity to understand the foundations, paradigms and techniques associated with intelligent systems and analyse, design and build computer systems, services and applications that use said techniques in all fields of application.
  • CEC5 : Capacity to acquire, obtain, formalise and represent human knowledge in computable fashion to solve problems using computer systems in any field of application, particularly those associated with aspects of computing, perception and activities in intelligent environments.

 

Basic Competences

  • CB3 : Students must be able to gather and interpret relevant data (usually within their area of study) in order to make judgements that include reflection on relevant social, scientific or ethical issues.

 

 

 

Learning outcomes (Training objectives)

No data

 

 

Specific objectives stated by the academic staff for academic year 2023-24

 

  • Conocer en qué campos de aplicación se emplean robots móviles y cuáles son sus tareas básicas.
  • Conocer y saber usar las distintas técnicas de percepción visual orientadas a robótica móvil.
  • Conocer cómo puede un robot percibir su entorno y cómo puede utilizar un robot la percepción para resolver sus tareas.

 

 

 

 

General

Code: 34030
Lecturer responsible:
Gómez Donoso, Francisco
Credits ECTS: 6,00
Theoretical credits: 1,20
Practical credits: 1,20
Distance-base hours: 3,60

Departments involved

  • Dept: SCIENCE OF COMPUTING AND ARTIFICIAL INTELLIGENCE
    Area: CIENCIA DE LA COMPUTACIO, INTEL·LIGENCIA ARTIFICIA
    Theoretical credits: 1,2
    Practical credits: 1,2
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught