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 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 ...
  • New instrumentation for human robot interaction assessment based on observational methods 

    Díaz Boladeras, Marta; Angulo Bahón, Cecilio (2015-07-16)
    Article
    Accés obert
    Research studies in Human Robot Interaction (HRI) with social robots usually gather observational data in order to explore the dynamics of short and long-term interactions. The most common approach for the analysis of ...
  • Evaluating the use of robots to enlarge AAL services 

    Angulo Bahón, Cecilio; Pfeiffer, Sammy; Alenyà Ribas, Guillem; Téllez Lara, Ricardo (2015-01-01)
    Article
    Accés obert
    We introduce robots as a tools to enhance Ambient Assisted Living (AAL) services. Robots are a unique opportunity to create new systems to cooperate in reaching better living conditions. Robots offer the possibility of ...
  • Assessing pediatrics patients’ psychological states from biomedical signals in a cloud of social robots 

    Díaz Boladeras, Marta; Angulo Bahón, Cecilio; Domènech Argemí, Miquel; Albo Canals, Jordi; Serrallonga, Núria; Raya Giner, Cristóbal; Barco, Alex (Springer, 2016)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    This paper describes an on-going research aiming to design and deploy a robotic-pet based intervention integrated to the Child Life program in a paediatric hospital. The purpose is to provide in the personalized health-care ...
  • Single-camera automatic landmarking for people recognition with an ensemble of regression trees 

    Trejo Ramírez, Karla Andrea; Angulo Bahón, Cecilio (2016)
    Article
    Accés obert
    Active Appearance Model (AAM) is a computer vision procedure for statistical matching of object shape and appearance between images. A main drawback in this technique comes from the construction of the ...
  • Self-organization and evolution on large computer data structures 

    Gabarró Vallès, Joaquim; Roselló Saurí, Llorenç (1998-12)
    Report de recerca
    Accés obert
    We study the long time evolution of a large data structure while inserting new items. It is implemented using a well known computer science approach based on 2-3 trees. We have seen self-organized critical behavior ...
  • Computing distances between decision makers using hesitant fuzzy linguistic makers using hesitant fuzzy linguistic term sets 

    Agell Jané, Núria; Sánchez Soler, Monica; Prats Duaygues, Francesc; Ruiz Vegas, Francisco Javier (2015)
    Comunicació de congrés
    Accés obert
    Given a finite totally ordered set of linguistic terms, the operations intersection and connected union provide a lattice structure to the set of hesitant fuzzy linguistic term sets. In this framework, hesitant fuzzy ...
  • Cálculo de la odometría en un robot cuadrúpedo mediante técnicas de visión artificial 

    Lillo Fantova, Lucía; Velasco García, Manel; Angulo Bahón, Cecilio (2015)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    En una primera fase, se hizo posible publicar las imágenes obtenidas por la cámara del robot AIBO a través del entorno de programacion ROS, un estándar en la programacion de robots moviles. Estas imágenes, pueden ser ...
  • Integración de la arquitectura cognitiva SOAR en un entorno ROS sobre un Parrot AR.Drone 2.0 

    Kothakota, Sai Kishor; Angulo Bahón, Cecilio (2015)
    Comunicació de congrés
    Accés obert
    En la vida diaria, el uso de aplicaciones de Inteligencia Artificial (IA) está creciendo. Sin embargo, todavía se necesita de un mayor apoyo para su integración en los robots, lo que conllevará el desarrollo de seres ...
  • InsERT: the inspirational expert recommender tool 

    Nguyen, Jennifer; Sanchez Hernandez, German; Agell Jané, Núria; Angulo Bahón, Cecilio (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    The continued growth in enterprise social networks is fueled by the need to enable productivity and innovation. Reducing the constraints to communication and knowledge sharing of a globally distributed workforce, will ...

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