Nuevas Tendencias en Robótica

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Créditos
3
Tipos
Optativa
Requisitos
Esta asignatura no tiene requisitos, pero tiene capacidades previas
Departamento
URV;CS
The discipline of robotics is now extending its arms towards new applications in new environments, to meet new demands of a new society. Most of the success is motivated by the application of AI techniques.
In this course, some of such AI techniques will be analysed.

Profesores

Responsable

  • Albert Oller ( )

Horas semanales

Teoría
1.2
Problemas
0
Laboratorio
0.6
Aprendizaje dirigido
0
Aprendizaje autónomo
3.2

Objetivos

  1. Probabilistic techniques applied in robotics
    Competencias relacionadas:
    Subcompetences:
    • Bayesian filters, Extended Kalman filters, Ant colony optimization, Particle filtering
  2. Search techniques are applied in robotics
    Competencias relacionadas:
    Subcompetences:
    • Voronoi teselation, A*, C-space
  3. Decision making techniques applied in robotics
    Competencias relacionadas:
    Subcompetences:
    • Intelligent control, Action selection, Task assignment

Contenidos

  1. Probabilistic techniques
    Probabilistic techniques actually applied in robotics
  2. Search techniques
    Search techniques actually applied in robotics
  3. Decision making techniques
    Decision making techniques actually applied in robotics

Actividades

Actividad Acto evaluativo


Paper discussion: probabilistic methods


Objetivos: 1
Teoría
6h
Problemas
0h
Laboratorio
3h
Aprendizaje dirigido
0h
Aprendizaje autónomo
16h

Paper discussion: search methods


Objetivos: 2
Teoría
6h
Problemas
0h
Laboratorio
3h
Aprendizaje dirigido
0h
Aprendizaje autónomo
16h

Paper discussion: decision making methods


Objetivos: 3
Teoría
6h
Problemas
0h
Laboratorio
3h
Aprendizaje dirigido
0h
Aprendizaje autónomo
16h

Metodología docente

For each AI methodology:
Week-1. Classroom slides and paper introduction (by teacher)
Week-2. Homework: paper reading
Week-3. Paper discussion in classroom
Week-4. Report writing
Week-5. Oral presentation. Next paper introduction (by teacher)

Método de evaluación

Report of Probabilistic methods 33%
Report of Search methods 33%
Report of Decision Making methods 33%

Bibliografía

Complementaria:

  • Scientific papers will be provided - Múltiple authors, , .

Capacidades previas

No previous specific competences are required

Adenda

Contenidos

There are no changes to the information published in the Academic Guide.

Metodología docente

Due to COVID19, NTR course will start fully online. This methodology could last till the end of the first term. Only if the clinical and social situation stabilizes in a save condition and classes can turn back to face-to-face, the registered students will be asked to decide if they prefer to continue with online classes or move to in-room classes. No decision will be taken unilaterally by the professor, but as a result of an agreement between all the students.

Método de evaluación

There are no changes to the information published in the Academic Guide.

Plan de contingencia

There are no changes to the information published in the Academic Guide.