Recent Submissions

  • Manipulation monitoring and robot intervention in complex manipulation sequences 

    Savarimuthu, Thiusius Rajeeth; Buch, Anders G.; Yang, Yang; Mustafar, Wail; Haller, Simon; Papon, Jeremie; Martínez Martínez, David; Eren Erdal, Aksoy (2014)
    Conference report
    Open Access
    Compared to machines, humans are intelligent and dexterous; they are indispensable for many complex tasks in areas such as flexible manufacturing or scientific experimentation. However, they are also subject to fatigue and ...
  • Teaching grasping points using natural movements 

    Isleyici, Yalim; Alenyà Ribas, Guillem (IOS Press, 2015)
    Conference report
    Open Access
    The research on robots performing every-day tasks at home, has pursued the problem of the manipulation of everyday objects. Among them, grasping a cloth is a challenging task, as the textile is highly-deformable and it is ...
  • A high performance CRF model for clothes parsing 

    Simó Serra, Edgar; Fidler, Sanja; Moreno-Noguer, Francesc; Urtasun, Raquel (Springer, 2014)
    Conference report
    Open Access
    In this paper we tackle the problem of clothing parsing: Our goal is to segment and classify different garments a person is wearing. We frame the problem as the one of inference in a pose-aware Conditional Random Field ...
  • Safe robot execution in model-based reinforcement learning 

    Martínez Martínez, David; Alenyà Ribas, Guillem; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Conference report
    Open Access
    Task learning in robotics requires repeatedly executing the same actions in different states to learn the model of the task. However, in real-world domains, there are usually sequences of actions that, if executed, may ...
  • Matchability prediction for full-search template matching algorithms 

    Peñate Sánchez, Adrián; Porzi, Lorenzo; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Conference report
    Open Access
    While recent approaches have shown that it is possible to do template matching by exhaustively scanning the parameter space, the resulting algorithms are still quite demanding. In this paper we alleviate the computational ...
  • Combining geometric, textual and visual features for predicting prepositions in image descriptions 

    Ramisa Ayats, Arnau; Wang, Josiah; Lu, Ying; Dellandrea, Emmanuel; Moreno-Noguer, Francesc; Gaizauskas, Robert (2016)
    Conference report
    Open Access
    We investigate the role that geometric, textual and visual features play in the task of predicting a preposition that links two visual entities depicted in an image. The task is an important part of the subsequent process ...
  • Leak detection and localization using models: field results 

    Mirats Tur, Josep Maria; Jarrige, Pierre Antoine; Meseguer Amela, Jordi; Cembrano Gennari, Gabriela (2013)
    Conference report
    Open Access
    This paper presents the practical results obtained on the field from two different methods for identifying and locating leaks in water distribution systems using network modeling based algorithms. Both methods are based ...
  • Learning probabilistic action models from interpretation transitions 

    Martínez Martínez, David; Ribeiro, Tony; Inoue, Katsumi; Alenyà Ribas, Guillem; Torras, Carme (2015)
    Conference report
    Open Access
    Probabilistic planners are very flexible tools that provide good solutions for difficult tasks. However, they rely on a model of the domain and actions, which they have difficulties to learn for complex tasks. We propose ...
  • V-MIN: efficient reinforcement learning through demonstrations and relaxed reward demands 

    Martínez Martínez, David; Alenyà Ribas, Guillem; Torras, Carme (2015)
    Conference report
    Restricted access - publisher's policy
    Reinforcement learning (RL) is a common paradigm for learning tasks in robotics. However, a lot of exploration is usually required, making RL too slow for high-level tasks. We present V-MIN, an algorithm that integrates ...
  • Combining model predictive control with constraint-satisfaction formulation for the operative pumping control in water networks 

    Sun, Congcong; Morley, Mark; Savic, Dragan; Puig Cayuela, Vicenç; Cembrano Gennari, Gabriela; Zhang, Zheng (2015)
    Conference report
    Open Access
    This paper proposes a method to combine linear Model Predictive Control (MPC), a Constraint Satisfaction Problem (CSP) formulation and a Network Aggregation Method (NAM) for the predictive operational control of water ...

View more