Cognitive Interaction with Robots

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Credits
4.5
Types
Elective
Requirements
This subject has not requirements, but it has got previous capacities
Department
ESAII;OE
The basic objective of this course is to provide students a broad understanding of the state of the art in the fundamental concepts of Cognitive Robotics: Human-Robot Interaction (HRI), control and computational learning in complex, dynamic and uncertain systems, integration of different processes of perception and interaction with people.

Teachers

Person in charge

  • Cecilio Angulo Bahon ( )

Others

  • Anais Garrell Zulueta ( )

Weekly hours

Theory
0.8
Problems
1
Laboratory
1
Guided learning
0.25
Autonomous learning
2.5

Competences

Generic Technical Competences

Generic

  • CG1 - Capability to plan, design and implement products, processes, services and facilities in all areas of Artificial Intelligence.
  • CG4 - Capacity for general management, technical management and research projects management, development and innovation in companies and technology centers in the area of Artificial Intelligence.

Technical Competences of each Specialization

Academic

  • CEA10 - Capability to understand advanced techniques of Human-Computer Interaction, and to know how to design, implement and apply these techniques in the development of intelligent applications, services or systems.

Professional

  • CEP3 - Capacity for applying Artificial Intelligence techniques in technological and industrial environments to improve quality and productivity.
  • CEP4 - Capability to design, write and report about computer science projects in the specific area of ??Artificial Intelligence.
  • CEP6 - Capability to assimilate and integrate the changing economic, social and technological environment to the objectives and procedures of informatic work in intelligent systems.

Transversal Competences

Teamwork

  • CT3 - Ability to work as a member of an interdisciplinary team, as a normal member or performing direction tasks, in order to develop projects with pragmatism and sense of responsibility, making commitments taking into account the available resources.

Information literacy

  • CT4 - Capacity for managing the acquisition, the structuring, analysis and visualization of data and information in the field of specialisation, and for critically assessing the results of this management.

Analisis y sintesis

  • CT7 - Capability to analyze and solve complex technical problems.

Objectives

  1. The objective of this course is to prepare students to design, implement and evaluate systems that include human-machine interaction at large (either directly, through interfaces, or indirectly, through the computational treatment of textual information for human use). It integrates concepts and methods of artificial intelligence, computer and graphic design to provide a comprehensive understanding of the tasks and applications that involve a relationship between man and machine, especially the user-centric environments.
    Related competences: CEA10, CG1, CG4, CEP3, CEP4, CEP6, CT3, CT4, CT7,

Contents

  1. Cognitive Robotics
    Cognitive Robotics Project

Activities

Activity Evaluation act


Cognitive Robotics

Cognitive Robotics Project
  • Theory: Concepts
  • Problems: Algorithms
  • Laboratory: Practical implementation
  • Guided learning: Work's presentation. Arrangements
  • Autonomous learning: Personal work
Objectives: 1
Theory
7.5h
Problems
15h
Laboratory
15h
Guided learning
2.8h
Autonomous learning
36h

Project's presentation


Objectives: 1
Week: 15
Type: assigment
Theory
0h
Problems
0h
Laboratory
0h
Guided learning
1h
Autonomous learning
1.5h

Teaching methodology

MD1: Master class
MD2 Exhibition class
MD3: Lab supervision
MD4: Cooperative work supervision and guidance
MD5: Personal work managing
MD6: Tutoring
MD7: Queries

Evaluation methodology

Course Project.

Evaluation Criteria are:
1) Course's contents relationship
2) Experimentation setup
3) Workload
4) Presentation

Bibliography

Basic:

Previous capacities

None