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

Recent Submissions

  • Learning depth-aware deep representations for robotic perception 

    Porzi, Lorenzo; Rota Bulò, Samuel; Peñate Sánchez, Adrián; Ricci, Elisa; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Article
    Open Access
    Exploiting RGB-D data by means of Convolutional Neural Networks (CNNs) is at the core of a number of robotics applications, including object detection, scene semantic segmentation and grasping. Most existing approaches, ...
  • Closed-form position analysis of variable geometry trusses 

    Porta Pleite, Josep Maria; Thomas, Federico (2017-03-01)
    Article
    Open Access
    Variable geometry trusses are composed, in general, of unit cells which can be modeled as bars connected by spherical joints. Under mild conditions, it has been shown that the only feasible cells are topologically equivalent ...
  • Uncalibrated visual servo for unmanned aerial manipulation 

    Santamaria Navarro, Àngel; Grosch Obregon, Patrick John; Lippiello, Vincenzo; Solà Ortega, Joan; Andrade-Cetto, Juan (Institute of Electrical and Electronics Engineers (IEEE), 2017-08-01)
    Article
    Open Access
    This paper addresses the problem of autonomous servoing an unmanned redundant aerial manipulator using computer vision. The overactuation of the system is exploited by means of a hierarchical control law, which allows to ...
  • Peak shaving through closed-loop optimization applied to machine tools with periodic behaviour 

    Ubach Pallàs, Sergi Xavier; Diaz Castañeda, Jenny Lorena; Ocampo-Martínez, Carlos; Antunez, Miguel (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Conference report
    Open Access
    This paper deals with machine tools characterized by a periodic behaviour and high-power peaks that require an oversized electrical network and cause high costs because electrical utilities charge greatly each power peak.To ...
  • Boosted Random ferns for object detection 

    Villamizar Vergel, Michael Alejandro; Andrade-Cetto, Juan; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (2018-02-01)
    Article
    Open Access
    In this paper we introduce the Boosted Random Ferns (BRFs) to rapidly build discriminative classifiers for learning and detecting object categories. At the core of our approach we use standard random ferns, but we introduce ...
  • Multi-modal joint embedding for fashion product retrieval 

    Rubio Romano, Antonio; Yu, Longlong; Simo Serra, Edgar; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Conference report
    Open Access
    Finding a product in the fashion world can be a daunting task. Everyday, e-commerce sites are updating with thousands of images and their associated metadata (textual information), deepening the problem, akin to finding a ...
  • Demonstration-free contextualized probabilistic movement primitives, further enhanced with obstacle avoidance 

    Colomé Figueras, Adrià; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Conference report
    Open Access
    Movement Primitives (MPs) have been widely used over the last years for learning robot motion tasks with direct Policy Search (PS) reinforcement learning. Among them, Probabilistic Movement Primitives (ProMPs) are a kind ...
  • Scene understanding using deep learning 

    Husain, Syed Farzad; Dellen, Babette Karla Margarete; Torras, Carme (Elsevier, 2017)
    Part of book or chapter of book
    Open Access
    Automation based on artificial intelligence becomes necessary when agents such as robots are deployed to perform complex tasks. Detailed representation of a scene makes robots better aware of their surroundings, thereby ...
  • Factor descent optimization for sparsification in graph SLAM 

    Vallvé Navarro, Joan; Solà Ortega, Joan; Andrade-Cetto, Juan (IEEE Press, 2017)
    Conference report
    Open Access
    In the context of graph-based simultaneous localization and mapping, node pruning consists in removing a subset of nodes from the graph, while keeping the graph’s information content as close as possible to the original. ...
  • Joint coarse-and-fine reasoning for deep optical flow 

    Vaquero Gómez, Víctor; Ros, German; Moreno-Noguer, Francesc; López, Antonio Manuel; Sanfeliu Cortés, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Conference report
    Open Access
    We propose a novel representation for dense pixel-wise estimation tasks using CNNs that boosts accuracy and reduces training time, by explicitly exploiting joint coarse-and-fine reasoning. The coarse reasoning is performed ...
  • New algebraic conditions for the identification of the relative position of two coplanar ellipses 

    Alberich Carramiñana, Maria; Elizalde, Borja; Thomas, Federico (2017-05-01)
    Article
    Restricted access - publisher's policy
    The identification of the relative position of two real coplanar ellipses can be reduced to the identification of the nature of the singular conics in the pencil they define and, in general, their location with respect to ...
  • TED: a tolerant edit distance for segmentation evaluation 

    Funke, Jan; Klein, J.; Moreno-Noguer, Francesc; Cardona, A.; Cook, Matthew (2017-02-15)
    Article
    Open Access
    In this paper, we present a novel error measure to compare a computer-generated segmentation of images or volumes against ground truth. This measure, which we call Tolerant Edit Distance (TED), is motivated by two observations ...

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