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.

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Envíos recientes

  • Depth-aware convolutional neural networks for accurate 3D pose estimation in RGB-D images 

    Porzi, Lorenzo; Peñate Sánchez, Adrián; Ricci, Elisa; Moreno-Noguer, Francesc (2017)
    Texto en actas de congreso
    Acceso abierto
    Most recent approaches to 3D pose estimation from RGB-D images address the problem in a two-stage pipeline. First, they learn a classifier –typically a random forest– to predict the position of each input pixel on the ...
  • 3D human pose estimation from a single image via distance matrix regression 

    Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Texto en actas de congreso
    Acceso abierto
    This paper addresses the problem of 3D human pose estimation from a single image. We follow a standard two-step pipeline by first detecting the 2D position of the N body joints, and then using these observations to infer ...
  • 3D CNNs on distance matrices for human action recognition 

    Hernández Ruiz, Alejandro José; Porzi, Lorenzo; Rota Bulò, Samuel; Moreno-Noguer, Francesc (2017)
    Texto en actas de congreso
    Acceso abierto
    In this paper we are interested in recognizing human actions from sequences of 3D skeleton data. For this purpose we combine a 3D Convolutional Neural Network with body representations based on Euclidean Distance Matrices ...
  • Multi-modal embedding for main product detection in fashion 

    Rubio Romano, Antonio; LongLong, Yu; Simo Serra, Edgar; Moreno-Noguer, Francesc (2017)
    Texto en actas de congreso
    Acceso abierto
    We present an approach to detect the main product in fashion images by exploiting the textual metadata associated with each image. Our approach is based on a Convolutional Neural Network and learns a joint embedding of ...
  • Real-time control-oriented quality modelling in combined urban drainage networks 

    Sung, C; Joseph Duran, Bernat; Maruejouls, Thibaud; Cembrano Gennari, Gabriela; Messeguer, Jordi; Puig Cayuela, Vicenç; Litrico, Xavier (Elsevier, 2017)
    Texto en actas de congreso
    Acceso abierto
    Urban drainage networks (UDN) carry urban wastewater to wastewater treatment plants (WWTP) in order to regenerate it before releasing it to the environment. Combined UDN (CUDN) carry both rain and wastewater together, which ...
  • Modelización y gestión térmica de una pila de combustible SOFC 

    Delgado Ferrer, Eloi; Serra, Maria; Husar, Attila Peter (2017)
    Texto en actas de congreso
    Acceso abierto
    In the present work, a dynamic lumped parameter model of the electrochemical and thermal behavior of a Solid Oxide Fuel Cell (SOFC) has been developed. The model is implemented in the MATLAB-Simulink visual programming ...
  • Optimal management of barcelona water distribution network using non-linear model predictive control 

    Wang, Ye; Cembrano Gennari, Gabriela; Puig Cayuela, Vicenç; Urrea, Maite; Romera Formiguera, Juli; Saporta, D.; Valero, J.G.; Quevedo Casín, Joseba Jokin (2017)
    Texto en actas de congreso
    Acceso abierto
    This paper presents a non-linear optimal control strategy for the operational management of water distribution networks (WDNs) including both flow and hydraulic head/pressure constraints. The optimal operation of WDNs ...
  • Low resolution lidar-based multi object tracking for driving applications 

    del Pino Bastida, Iván; Vaquero Gómez, Víctor; Massini, Beatrice; Solà Ortega, Joan; Moreno-Noguer, Francesc; Sanfeliu Cortés, Alberto; Andrade-Cetto, Juan (Springer, 2017)
    Texto en actas de congreso
    Acceso abierto
    Vehicle detection and tracking in real scenarios are key com- ponents to develop assisted and autonomous driving systems. Lidar sen- sors are specially suitable for this task, as they bring robustness to harsh weather ...
  • Nonlinear moving horizon estimator for online estimation of the density and viscosity of a mineral slurry 

    Diaz Castañeda, Jenny Lorena; Ocampo-Martínez, Carlos; Alvarez, Hernan (2017-12-13)
    Artículo
    Acceso restringido por política de la editorial
    This paper proposes a moving horizon estimator for nonlinear systems with unknown inputs, which do not comply with the model structures proposed in the literature for the design of nonlinear observers. The estimator is ...
  • UAV visual and laser sensors fusion for detection and positioning in industrial applications 

    Guerra Paradas, Edmundo; Munguía Alcalá, Rodrigo Francisco; Grau Saldes, Antoni (MDPI AG, 2017-12-04)
    Otros
    Acceso abierto
  • Cooperative monocular SLAM for multi-UAV systems 

    Trujillo, Juan Carlos; Munguía Alcalá, Rodrigo Francisco; Guerra Paradas, Edmundo; Grau Saldes, Antoni (MDPI AG, 2017-12-04)
    Otros
    Acceso abierto
  • Zonotopic fault estimation filter design for discrete-time descriptor systems 

    Wang, Ye; Wang, Zhenhua; Puig Cayuela, Vicenç; Cembrano Gennari, Gabriela (2017)
    Texto en actas de congreso
    Acceso abierto
    This paper considers actuator-fault estimation for discrete-time descriptor systems with unknown but bounded system disturbance and measurement noise. A zonotopic fault estimation filter is designed based on the analysis ...

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