El Grup de Recerca en Enginyeria del Coneixement (GREC) fonamenta la seva activitat en la recerca i desenvolupament de tecnologies dins de l'àrea de la Intel·ligència Artificial, centrant-se en aspectes relatius al raonament qualitatiu, l'aprenentatge automàtic i els sistemes de decisió multicritèria. La finalitat del GREC és l'estudi i la recerca sobre sistemes basats en el coneixement i la seva natura qualitativa, tàcita o intangible.
El grup GREC impulsa una recerca interdisciplinària que incorpora àrees d'aplicació de rellevància social que suposin un augment de la qualitat de vida d'éssers, entorns i comunitats. En formació i difusió de coneixement, el GREC participa en programes de màster, formació doctoral, organització i participació en congressos, i publicació de resultats científics.
La nostra visió s'assoleix a través de continuar formant investigadors a nivell internacional en entorns de treball creatius i innovadors.

http://futur.upc.edu/GREC

The Knowledge Engineering Research Group (GREC) was established in 1991 as a highly multidisciplinary research team. Most of the GREC¿s researchers work at two universities, the Technical University of Catalonia and Ramon Llull University, although they collaborate actively with researchers from the LAAS-CNRS and IIIA-CSIC research groups. The group¿s main fields of study are the theory and application of learning systems and qualitative reasoning. The group is involved in researching and developing ubiquitous soft computing technologies in areas of application that lead to the improvement of the quality of life of people and communities. The group¿s specific objectives are the following: 1. The study and development of computational paradigms with the aim of merging soft computing and pervasive computing paradigms. Soft computing techniques have proved useful in several fields, but the focus has not yet been on problems in which the improvement of people¿s lives is the greatest concern. It is in this respect that a combination of soft computing and pervasive computing techniques might prove particularly useful, because of the latter¿s distributed and intangible nature. 2. The application of technologies. Only by merging software and hardware technologies is it possible to develop the aforementioned paradigms. The GREC aims to analyse how to merge these technologies in order to design computational intelligence. Possible areas of application are those in which a community or environment requires solutions to improve quality of life, such as, for example, smart buildings, environmental control, the improvement of sustainability indicators, market research, etc. 3. Teaching and the dissemination of knowledge in the university community and society in general. To this end, the group collaborates on Master¿s and PhD courses with Ramon Llull University. 4. Technology transfer. The main objective of contact with industry is transferring the knowledge generated by the group¿s research. A further aim in developing computational intelligence paradigms is the design of electronic and computing devices that do not intrude on people¿s everyday lives and the environment. The user¿s social environment is also considered, as the approach to computational intelligence in a technological society must be both adaptive and adaptable.

http://futur.upc.edu/GREC

The Knowledge Engineering Research Group (GREC) was established in 1991 as a highly multidisciplinary research team. Most of the GREC¿s researchers work at two universities, the Technical University of Catalonia and Ramon Llull University, although they collaborate actively with researchers from the LAAS-CNRS and IIIA-CSIC research groups. The group¿s main fields of study are the theory and application of learning systems and qualitative reasoning. The group is involved in researching and developing ubiquitous soft computing technologies in areas of application that lead to the improvement of the quality of life of people and communities. The group¿s specific objectives are the following: 1. The study and development of computational paradigms with the aim of merging soft computing and pervasive computing paradigms. Soft computing techniques have proved useful in several fields, but the focus has not yet been on problems in which the improvement of people¿s lives is the greatest concern. It is in this respect that a combination of soft computing and pervasive computing techniques might prove particularly useful, because of the latter¿s distributed and intangible nature. 2. The application of technologies. Only by merging software and hardware technologies is it possible to develop the aforementioned paradigms. The GREC aims to analyse how to merge these technologies in order to design computational intelligence. Possible areas of application are those in which a community or environment requires solutions to improve quality of life, such as, for example, smart buildings, environmental control, the improvement of sustainability indicators, market research, etc. 3. Teaching and the dissemination of knowledge in the university community and society in general. To this end, the group collaborates on Master¿s and PhD courses with Ramon Llull University. 4. Technology transfer. The main objective of contact with industry is transferring the knowledge generated by the group¿s research. A further aim in developing computational intelligence paradigms is the design of electronic and computing devices that do not intrude on people¿s everyday lives and the environment. The user¿s social environment is also considered, as the approach to computational intelligence in a technological society must be both adaptive and adaptable.

http://futur.upc.edu/GREC

Enviaments recents

  • A measure of perceived performance to assess resource allocation 

    Sayeras, Josep M.; Agell, Nuria; Rovira Llobera, Xari; Sánchez Soler, Monica; Dawson, John A. (Springer, 2016-08-01)
    Article
    Accés restringit per política de l'editorial
    Performance measurement is a key issue when a company is designing new strategies to improve resource allocation. This paper offers a new methodology inspired by classic importance-performance analysis (IPA) that provides ...
  • CASPER Project: Social pet robots facilitating tasks in therapies with children with ASD 

    Curley, Devyn; Barco, Alex; Pico, Sandra; Gallego, Pablo; Zervas, Dimitris; Angulo Bahón, Cecilio; Ozcan, Beste; Delvaux, Julien; Lhoir, Matthieu; Albo Canals, Jordi (2017)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    In this paper, we present a Cognitive Assistive Social Pet Robot design and an early field study with it to facilitate learning with children with Autism Spectrum Disorder. The robotic platform is a low-cost robotic ...
  • Real-time model-based video stabilization for microaerial vehicles 

    Aguilar Castillo, Wilbert Geovanny; Angulo Bahón, Cecilio (2016-04)
    Article
    Accés restringit per política de l'editorial
    The emerging branch of micro aerial vehicles (MAVs) has attracted a great interest for their indoor navigation capabilities, but they require a high quality video for tele-operated or autonomous tasks. A common problem of ...
  • Subspace procrustes analysis 

    Perez-Sala, Xavier; De La Torre, Fernando; Igual, Laura; Escalera, Sergio; Angulo Bahón, Cecilio (2017-02)
    Article
    Accés restringit per política de l'editorial
  • Informe sobre la Competència de Sostenibilitat i Compromís Social a la Universitat Politècnica Catalunya 

    Hernández Gómez, M. Angeles; Sureda Carbonell, Bàrbara; Escribano Rodríguez de Robles, Beatriz; Carrera Gallissà, Enric; Martínez Magaña, Juan; Aguado Chao, Juan Carlos; Cot Valle, María Ana; Busquets Rubio, Pere (2016-03-16)
    Report de recerca
    Accés obert
  • Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives 

    Afsordegan, Arayeh; Sánchez Soler, Monica; Agell Jané, Núria; Zahedi, Siamak; Cremades Oliver, Lázaro Vicente (2016-03-15)
    Article
    Accés restringit per política de l'editorial
    Multi-criteria decision-making methods support decision makers in all stages of the decision-making process by providing useful data. However, criteria are not always certain as uncertainty is a feature of the real world. ...
  • On fuzzy-qualitative descriptions and entropy 

    Prats Duaygues, Francesc; Roselló Saurí, Llorenç; Sánchez Soler, Monica; Agell Jané, Núria (2016-08-01)
    Article
    Accés restringit per política de l'editorial
    This paper models the assessments of a group of experts when evaluating different magnitudes, features or objects by using linguistic descriptions. A new general representation of linguistic descriptions is provided by ...
  • Usos y beneficios de la robótica en las aulas 

    Angulo Bahón, Cecilio (2016-12-15)
    Article
    Accés obert
  • Externalising moods and psychological states in a cloud based system to enhance a pet-robot and child’s interaction 

    Larriba, Ferran; Raya Giner, Cristóbal; Angulo Bahón, Cecilio; Albo-Canals, Jordi; Díaz Boladeras, Marta; Boldú, Roger (2016-12-01)
    Article
    Accés obert
    Background:This PATRICIA research project is about using pet robots to reduce pain and anxiety in hospitalized children. The study began 2 years ago and it is believed that the advances made in this project are significant. ...
  • A real-time human-robot interaction system based on gestures for assistive scenarios 

    Canal Camprodon, Gerard; Escalera, Sergio; Angulo Bahón, Cecilio (2016)
    Article
    Accés restringit per política de l'editorial
    Natural and intuitive human interaction with robotic systems is a key point to develop robots assisting people in an easy and effective way. In this paper, a Human Robot Interaction (HRI) system able to recognize gestures ...

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