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 decision support tool using order weighted averaging for conference review assignment 

    Nguyen, Jennifer; Sánchez Hernández, Germán; Agell Jané, Núria; Rovira Llobera, Xari; Angulo Bahón, Cecilio (Elsevier, 2017-01-01)
    Article
    Accés restringit per política de l'editorial
    Assigning papers to reviewers is a large, long and difficult task for conference chairs and scientific committees. The paper reviewer assignment problem is a multi-agent problem which requires understanding reviewer expertise ...
  • Evaluating student-internship fit by using fuzzy linguistic terms and a fuzzy OWA operator 

    Jennifer, Nguyen; Sánchez Hernández, Germán; Armisen Morell, Albert; Agell, Nuria; Angulo Bahón, Cecilio (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Text en actes de congrés
    Accés obert
    Personnel selection is a well-known problem that is made difficult by incomplete and imprecise information about candidate and position compatibility. This paper shows how positions, which satisfy candidate’s interests, ...
  • A qualitative spatial descriptor of group-robot interactions 

    Falomir, Zoe; Angulo Bahón, Cecilio (Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2017)
    Text en actes de congrés
    Accés obert
    The problem of finding a suitable qualitative representation for robots to reason about activity spaces where they carry out tasks such as leading or interacting with a group of people is tackled in this paper. For that, ...
  • Obstacle avoidance based-visual navigation for micro aerial vehicles 

    Aguilar Castillo, Wilbert Geovanny; Casaliglla, Veronica P.; Polit, Jose L. (2017-03-01)
    Article
    Accés obert
    This paper describes an obstacle avoidance system for low-cost Unmanned Aerial Vehicles (UAVs) using vision as the principal source of information through the monocular onboard camera. For detecting obstacles, the proposed ...
  • 3D environment mapping using the Kinect V2 and path planning based on RRT algorithms 

    Aguilar Castillo, Wilbert Geovanny; Morales, Stephanie G. (2016-10-18)
    Article
    Accés obert
    This paper describes a 3D path planning system that is able to provide a solution trajectory for the automatic control of a robot. The proposed system uses a point cloud obtained from the robot workspace, with a Kinect V2 ...
  • The role of somatosensory models in vocal autonomous exploration 

    Acevedo Valle, Juan Manuel; Angulo Bahón, Cecilio; Moulin-Frier, Clément; Trejo Ramírez, Karla Andrea (2016-11)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    The present work focuses on two main objectives. Firstly, it highlights the relevance of studying the early stages of language development using machines as an approach to contribute to the future of speech recognizers and ...
  • 2D and 3D automatic landmarking of body contours for people recognition 

    Trejo Ramírez, Karla Andrea; Angulo Bahón, Cecilio (Innovation Match MX, 2016)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    Automatic landmarking has overcome a main drawback in Active Appearance Models (AAMs) computer vision technique: landmarks must be manually placed on training images to construct the shape mesh. Although AAMs are a well-known ...
  • Towards modelling group-robot interactions using a qualitative spatial representation 

    Paillacho, Dennys; Falomir, Zoe; Angulo Bahón, Cecilio (CEUR Workshop Proceedings (CEUR-WS.org), 2016)
    Comunicació de congrés
    Accés obert
    This paper tackles the problem of finding a suitable qualitative representation for robots to reason about activity spaces where they carry out tasks interacting with a group of people. The ...
  • 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 obert
    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 ...

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