Cognitive Interaction with Robots

Credits
4.5
Types
  • MAI: Elective
  • MEI: 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

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: CT3, CT4, CT7, CEA10, CEP3, CEP4, CEP6, CG1, CG4,

    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
    Theory
    0h
    Problems
    0h
    Laboratory
    0h
    Guided learning
    0h
    Autonomous learning
    0h

    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