La recerca s'articula en dues línies amb els objectius que es detallen a continuació.

Percepció i Manipulació:
1. Enllaçar percepció i acció utilitzant mètodes geomètrics i estadístics per al modelatge de l'entorn i del propi robot, per a la planificació de tasques i moviments, i per a l'aprenentatge.
2. Aprofundir en l'aprenentatge per reforçament i en l'aprenentatge per demostració, en particular el "mestratge", com a base per a la interacció entre robots, humans i l'entorn.

Cinemàtica i Disseny de Robots:
3. Trobar mètodes generals i complets per a l'anàlisi i la planificació de moviments lliures de col·lisió de mecanismes.
4. Desenvolupar noves estructures mecàniques, preferentment robots paral·lels i robots basats en estructures "tensegrity".
5. Incrementar i millorar l'expertesa del grup en l'àrea del disseny mecànic

http://futur.upc.edu/ROBiri


La investigación se articula en dos líneas con los objectivos que se detallan a continuación.

Percepción y Manipulación:
1. Enlazar percepción y acción utilitzando métodos geométricos y estadísticos para el modelado del entorno y del propio robot, para la planificación de tareas y movimientos, y para el aprendizaje.
2. Profundizar en el aprendizaje por refuerzo y en el aprendizaje por demostración, en particular el entrenamiento, como base para la interacción entre robots, humanos y el entorno.

Cinemática y Diseño de Robots:
3. Encontrar métodos generales y completos para análisis y planificación de movimientos libres de colisión.
4. Desarrollar nuevas estructuras mecánicas, preferentmente robots paralelos y robots "tensegrity".
5. Incrementar y mejorar la competencia del grupo en el área del diseño mecánico.

http://futur.upc.edu/ROBiri


Research is organized in two lines with the following goals.

Perception and Manipulation:
1. Linking perception and action using geometric and statistic methods for modelling the environment and the robot, for task and motion planning, and for learning.
2. Deepening on reinforcement learning and in learning by demonstration, in particular "coaching", as a basis for the interaction of robots, humans and the environtment.

Kinematics and Robot Design:
3. Finding general and complete methods for the analysis of mechanisms and for planning collision-free motions.
4. Developing new mechanical structures, especially parallel robots and robots based on tensegrity structures.
5. Increasing and enhancing the expertise of the group in the area of mechanical design.

http://futur.upc.edu/ROBiri


Research is organized in two lines with the following goals.

Perception and Manipulation:
1. Linking perception and action using geometric and statistic methods for modelling the environment and the robot, for task and motion planning, and for learning.
2. Deepening on reinforcement learning and in learning by demonstration, in particular "coaching", as a basis for the interaction of robots, humans and the environtment.

Kinematics and Robot Design:
3. Finding general and complete methods for the analysis of mechanisms and for planning collision-free motions.
4. Developing new mechanical structures, especially parallel robots and robots based on tensegrity structures.
5. Increasing and enhancing the expertise of the group in the area of mechanical design.

http://futur.upc.edu/ROBiri

Enviaments recents

  • 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, ...
  • Multi-modal fashion product retrieval 

    Rubio Romano, Antonio; Yu, Longlong; Simó Serra, Edgar; Moreno-Noguer, Francesc (2017)
    Text en actes de congrés
    Accés obert
    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. In this paper, we ...
  • 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 ...
  • BASS: boundary-aware superpixel segmentation 

    Rubio Romano, Antonio; Yu, Longlong; Simó Serra, Edgar; Moreno-Noguer, Francesc (IEEE Press, 2016)
    Text en actes de congrés
    Accés obert
    We propose a new superpixel algorithm based on exploiting the boundary information of an image, as objects in images can generally be described by their boundaries. Our proposed approach initially estimates the boundaries ...
  • Semantic segmentation priors for object discovery 

    Martín García, Germán; Husain, Syed Farzad; Schulz, Hannes; Frintrop, Simone; Torras, Carme; Behnke, Sven (IEEE Press, 2016)
    Text en actes de congrés
    Accés obert
    Reliable object discovery in realistic indoor scenes is a necessity for many computer vision and service robot applications. In these scenes, semantic segmentation methods have made huge advances in recent years. Such ...
  • Recovering pose and 3D deformable shape from multi-instance image ensembles 

    Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Springer, 2017)
    Text en actes de congrés
    Accés obert
    In recent years, there has been a growing interest on tackling the Non-Rigid Structure from Motion problem (NRSfM), where the shape of a deformable object and the pose of a moving camera are simultaneously estimated from ...
  • Structured prediction with output embeddings for semantic image annotation 

    Quattoni, Ariadna Julieta; Ramisa Ayats, Arnau; Madhyastha, Pranava S.; Simo Serra, Edgar; Moreno-Noguer, Francesc (2016)
    Text en actes de congrés
    Accés obert
    We address the task of annotating images with semantic tuples. Solving this problem requires an algorithm able to deal with hundreds of classes for each argument of the tuple. In such contexts, data sparsity becomes a key ...
  • Construcció i programació d'un cap robòtic 

    García Serrano, Aniol; Alenyà Ribas, Guillem; Foix Salmerón, Sergi (2016)
    Report de recerca
    Accés obert
    Aquest projecte ha estat desenvolupat durant l'estada a l'empresa de primer de batxillerat. Va ser dut a terme al laboratori de Percepció i Manipulació de l'IRI (Institut de Robòtica i Informàtica Industrial) i proposat i ...
  • Personalization framework for adaptive robotic feeding assistance 

    Canal Camprodon, Gerard; Alenyà Ribas, Guillem; Torras, Carme (2016)
    Text en actes de congrés
    Accés obert
    The deployment of robots at home must involve robots with pre-defined skills and the capability of personalizing their behavior by non-expert users. A framework to tackle this personalization is presented and applied to ...

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