The Institut de Robòtica i Informàtica Industrial was created in November 1995 as a Joint Research Institute of the Spanish Council for Scientific Research (CSIC) and the Technical University of Catalonia (UPC).

The Institute was created with three main objectives: a) to promote a multidisciplinary center where CSIC and UPC researchers from different fields can combine efforts to carry out research on robotics and applied informatics; b) to offer to the community an Institute for fundamental and pre‐industrial technological research, offering also scientific education through doctorate and postgraduate courses; and c) to promote a quality‐based center being competitive enough to join other partners to participate in local, national and European research programs.

Pàgina web del Departament

Enviaments recents

  • Nonlinear observation in fuel cell systems: a comparison between disturbance estimation and High-Order Sliding-Mode techniques 

    Luna Pacho, Julio Alberto; Usai, Elio; Husar, Attila Peter; Serra, Maria (2016-11-16)
    Article
    Accés obert
    This paper compares two Nonlinear Distributed Parameter Observers (NDPO) for the observation of a Proton Exchange Membrane Fuel Cell (PEMFC). Both NDPOs are based on the discretisation of distributed parameters models and ...
  • Grasping novel objects 

    Covallero, Nicola; Alenyà Ribas, Guillem (2016)
    Report de recerca
    Accés obert
    The work explained in this technical report is about evaluating some recent algorithms to grasp unforeseen objects for table clearance tasks. A tabletop object segmentation algorithm is proposed, and two recently published ...
  • Action recognition based on efficient deep feature learning in the spatio-temporal domain 

    Husain, Syed Farzad; Dellen, Babette Karla Margarete; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Article
    Accés obert
    Hand-crafted feature functions are usually designed based on the domain knowledge of a presumably controlled environment and often fail to generalize, as the statistics of real-world data cannot always be modeled correctly. ...
  • A matrix-based approach to the image moment problem 

    Martínez Bauzà, Judit; Porta Pleite, Josep Maria; Thomas, Federico (2006-11)
    Article
    Accés obert
    An image can be seen as an element of a vector space and hence it can be expressed in as a linear combination of the elements of any non necessarily orthogonal basis of this space. After giving a matrix formulation of this ...
  • Learning relational dynamics of stochastic domains for planning 

    Martínez Martínez, David; Alenyà Ribas, Guillem; Torras, Carme; Ribeiro, Tony; Inoue, Katsumi (2016)
    Text en actes de congrés
    Accés obert
    Probabilistic planners are very flexible tools that can provide good solutions for difficult tasks. However, they rely on a model of the domain, which may be costly to either hand code or automatically learn for complex ...
  • Collaborative localization for autonomous robots in structured environments 

    Guerra Paradas, Edmundo; Munguía Alcalá, Rodrigo Francisco; Bolea Monte, Yolanda; Grau Saldes, Antoni (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    A complete approach to the visual localization and mapping problem (SLAM) is presented in this work. The presented approach exploits the enhanced capabilities of a system where a human and a robot collaborate in ...
  • Learning physical collaborative robot behaviors from human demonstrations 

    Rozo Castañeda, Leonel; Calinon, Sylvain; Caldwell, Darwin; Jimenez Schlegl, Pablo; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2016-04-01)
    Article
    Accés obert
    Robots are becoming safe and smart enough to work alongside people not only on manufacturing production lines, but also in spaces such as houses, museums, or hospitals. This can be significantly exploited in situations in ...
  • Structured learning of assignment models for neuron reconstruction to minimize topological errors 

    Funke, Jan; Klein, J.; Moreno-Noguer, Francesc; Cardona, A.; Cook, M. (2016)
    Text en actes de congrés
    Accés obert
    Structured learning provides a powerful framework for empirical risk minimization on the predictions of structured models. It allows end-to-end learning of model parameters to minimize an application specific loss function. ...
  • Interactive multiple object learning with scanty human supervision 

    Villamizar Vergel, Michael Alejandro; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (2016-08)
    Article
    Accés obert
    We present a fast and online human-robot interaction approach that progressively learns multiple object classifiers using scanty human supervision. Given an input video stream recorded during the human robot interaction, ...
  • Execution fault recovery in robot programming by demonstration using multiple models 

    Hoyos, Jose; Prieto, Flavio; Alenyà Ribas, Guillem; Torras, Carme (2016)
    Article
    Accés obert
    Deformable object (e.g., clothes) manipulation by a robot in interaction with a human being presents several interesting challenges. Due to texture and deformability, the object can get hooked in the human limbs. Moreover, ...

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