Enviaments recents

  • Guest editorial: sensorimotor contingencies for cognitive robotics 

    Alenyà Ribas, Guillem; Tellez Lara, Ricardo; O'Regan, Kevin; Angulo Bahón, Cecilio (Institute of Electrical and Electronics Engineers (IEEE), 2017-06-09)
    Article
    Accés obert
    The sensorimotor approach to cognition states, that the key to bring semantics to the world of a robot, requires making the robot learn the relation between the actions that the robot performs and the change it experiences ...
  • Efficient interactive decision-making framework for robotic applications 

    Agostini, Alejandro Gabriel; Torras, Carme; Woergoetter, Florentin (2017-06-01)
    Article
    Accés obert
    The inclusion of robots in our society is imminent, such as service robots. Robots are now capable of reliably manipulating objects in our daily lives but only when combined with artificial intelligence (AI) techniques for ...
  • Combining local-physical and global-statistical models for sequential deformable shape from motion 

    Agudo Martínez, Antonio; Moreno-Noguer, Francesc (2017-04-01)
    Article
    Accés obert
    In this paper, we simultaneously estimate camera pose and non-rigid 3D shape from a monocular video, using a sequential solution that combines local and global representations. We model the object as an ensemble of particles, ...
  • Modal space: a physics-based model for sequential estimation of time-varying shape from monocular video 

    Agudo Martínez, Antonio; Martinez Montiel, José Maria; Agapito, Lourdes; Calvo, Begoña (2017-01-01)
    Article
    Accés obert
    This paper describes two sequential methods for recovering the camera pose together with the 3D shape of highly deformable surfaces from a monocular video. The nonrigid 3D shape is modeled as a linear combination of mode ...
  • Real-time 3D reconstruction of non-rigid shapes with a single moving camera 

    Agudo Martínez, Antonio; Moreno-Noguer, Francesc; Calvo, Begoña; Martinez Montiel, José Maria (2016)
    Article
    Accés obert
    This paper describes a real-time sequential method to simultaneously recover the camera motion and the 3D shape of deformable objects from a calibrated monocular video. For this purpose, we consider the Navier-Cauchy ...
  • A bayesian approach to simultaneously recover camera pose and non-rigid shape from monocular images 

    Moreno-Noguer, Francesc; Porta Pleite, Josep Maria (2016)
    Article
    Accés obert
    In this paper we bring the tools of the Simultaneous Localization and Map Building (SLAM) problem from a rigid to a deformable domain and use them to simultaneously recover the 3D shape of non-rigid surfaces and the sequence ...
  • A 3D descriptor to detect task-oriented grasping points in clothing 

    Ramisa Ayats, Arnau; Alenyà Ribas, Guillem; Moreno-Noguer, Francesc; Torras, Carme (2016)
    Article
    Accés obert
    Manipulating textile objects with a robot is a challenging task, especially because the garment perception is difficult due to the endless configurations it can adopt, coupled with a large variety of colors and designs. ...
  • 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. ...
  • 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 ...
  • 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, ...

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