Robótica Cognitiva

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Créditos
4.5
Tipos
Optativa
Requisitos
Esta asignatura no tiene requisitos, pero tiene capacidades previas
Departamento
URV;CS
Mail
1.To understand the main types of cognitive robots and their driving requirements (engineering operations, navigation, cooperation).
2.To understand advanced methods for creating highly capable cognitive robots.
3.To dive into the recent literature, and collectively synthesize, clearly explain and evaluate the state of the art in cognitive robotics.
4.To apply one or more core reasoning methods to create a simple agent that is driven by goals or rewards.

Profesores

Responsable

  • Albert Oller ( )

Horas semanales

Teoría
1.8
Problemas
0
Laboratorio
0.9
Aprendizaje dirigido
0
Aprendizaje autónomo
4.8

Contenidos

  1. Planning and Acting in the World.
    Monitoring and Diagnosis
    Planning Missions
  2. Interacting with the world: state-awareness
    SLAM
    Cognitive Vision
    Navigation and Manipulation
    Human-Robot Interaction
  3. Fast, large-scale reasoning: planning for future
    Optimality and soft Constraints
    Incremental methods

Actividades

Actividad Acto evaluativo


Implementation of theoretical contents into simulated environments



Teoría
27h
Problemas
0h
Laboratorio
6h
Aprendizaje dirigido
0h
Aprendizaje autónomo
36h

Teamwork with simulated robots



Teoría
0h
Problemas
0h
Laboratorio
7.5h
Aprendizaje dirigido
0h
Aprendizaje autónomo
36h

Metodología docente

1. To understand the main types of cognitive robots and their driving requirements (engineering operations, navigation, cooperation)
Methodology: case studies

2. To understand advanced methods for creating highly capable cognitive robots
Methodology: lectures and classroom slides, implement and compare 2 core methods with computer simulation

3. To dive into the recent literature, and collectively synthesize, clearly explain and evaluate the state of the art in cognitive robotics
Methodology: oral presentation

4.To apply one or more core reasoning methods to create a simple agent that is driven by goals or rewards
Methodology: code programming

Método de evaluación

1. Oral presentation 20%
2. Reports of lab sessions 30%
3. Final project 50%

(*) There are no exams.

Capacidades previas

Good programming skills (C, C++, Matlab)