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.
Cecilio Angulo Bahon (
Marta Diaz Boladeras (
Generic Technical Competences
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
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.
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.
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.
Solvent use of the information resources
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.
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.