Now showing items 1-12 of 12

  • Action rule induction from cause-effect pairs learned through robot-teacher interaction 

    Agostini, Alejandro Gabriel; Celaya Llover, Enric; Torras, Carme; Wörgötter, Florentin (University of Karlsruhe, 2008)
    Conference report
    Open Access
    In this work we propose a decision-making system that efficiently learns behaviors in the form of rules using natural human instructions about cause-effect relations in currently observed situations, avoiding complicated ...
  • Actividades en control y supervisión inteligente del Grupo de Sistemas Avanzados de Control (SAC) de la Universidad Politècnica de Catalunya (UPC) 

    Quevedo Casín, Joseba Jokin; Puig Cayuela, Vicenç; Escobet Canal, Teresa; Pérez Magrané, Ramon; Prats Menéndez, Xavier; García España, Claudia M. (2010)
    Conference report
    Open Access
    En esta ponencia se presenta un resumen de las actividades de investigación que se están desarrollando en el grupo de “Sistemas Avanzados de Control” (SAC) de la Universidad Politécnica de Catalunya UPC en el Campus de ...
  • A multicriteria genetic tuning for fuzzy logic controllers 

    Alcalá Fernández, Rafael; Casillas Barranquero, Jorge; Castro Peña, Juan Luis; González Muñoz, Antonio; Herrera Triguero, Francisco (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 2001)
    Article
    Open Access
    This paper presents the use of genetic algorithms to develop smartly tuned fuzzy logic controllers in multicriteria complex problems. This tuning approach has some specific restrictions that make it very particular and ...
  • Equilibrium sampling interval sequences for event-driven controllers 

    Velasco García, Manel; Martí Colom, Pau; Bini, Enrico (2009)
    Conference report
    Restricted access - publisher's policy
    Standard discrete-time control laws consider periodic execution of control jobs. Although this assumption simplifies the control design and the resource utilization analysis for later implementation, it leads to a ...
  • Gesture based HRI for industrial AGVs 

    Fandos Jahrsetz, Alexander (Universitat Politècnica de Catalunya, 2014)
    Master thesis
    Open Access
    Interaction between humans and AGVs (Automatic guided vehicles) is often reduced to non-existent or just some pushbuttons, touchscreens or signalling lamps [17][18][19][20]. In recent years some researchers have attempted ...
  • Learning rules from cause-effects explanations 

    Agostini, Alejandro Gabriel; Celaya Llover, Enric; Torras, Carme; Wörgötter, Florentin (2008)
    External research report
    Open Access
    In this work we propose a learning system to learn on-line an action policy coded in rules using natural human instructions about cause-effect relations in currently observed situations. The instructions only on currently ...
  • Multi-Agent Control for Autonomous, Real-time and Choreographic Image Display 

    Alonso Mora, Javier (Universitat Politècnica de Catalunya / Eidegenössische Technische Hochschule Zürich, 2009)
    Master thesis (pre-Bologna period)
    Restricted access - author's decision
    This thesis presents a new way of looking at images and videos, Display Swarm, which is a novel robot display providing new types of visual experience. This work is focused on creating a multi-agent control method for ...
  • Neural networks learning as a multiobjective optimal control problem 

    Krawczak, Maciej (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 1997)
    Article
    Open Access
    The supervised learning process of multilayer feedforward neural networks can be considered as a class of multi-objective, multi-stage optimal control problem. An iterative parametric minimax method is proposed in which ...
  • On-line learning of macro planning operators using probabilistic estimations of cause-effects 

    Agostini, Alejandro Gabriel; Wörgötter, Florentin; Celaya Llover, Enric; Torras, Carme (2008)
    External research report
    Open Access
    In this work we propose an on-line learning method for learning action rules for planning. The system uses a probabilistic approach of a constructive induction method that combines a beam search with an example-based search ...
  • On the timing of discrete events in event-driven control systems 

    Velasco García, Manel; Martí Colom, Pau; Lozoya, Camilo (2008-04-01)
    Article
    Open Access
    This paper presents an analysis method to determine offline at what intervals have to be taken the samples for various types of event- driven control systems.
  • Relevance and redundancy in fuzzy classification systems 

    Amo, Ana del; Gómez González, Daniel; Montero de Juan, Francisco Javier; Biging, Gregory S. (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 2001)
    Article
    Open Access
    Fuzzy classification systems is defined in this paper as an aggregative model, in such a way that Ruspini classical definition of fuzzy partition appears as a particular case. Once a basic {\em recursive} model has been ...
  • Systolic architectures for fuzzy processing and their simulation 

    Salvador, Luis de; García, Marcos; Gutiérrez, Julio (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 1994)
    Article
    Open Access
    This paper details the study of systolic architectures for fuzzy rules processing made at the Hardware and Advanced Control Laboratory - INTA. The theoretical basis of these architectures is described and analysed. Likewise, ...