Nuevas Tendencias en Robótica

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Créditos
3
Tipos
Optativa
Requisitos
Esta asignatura no tiene requisitos
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

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%