Recent Submissions

  • Event transformer FlowNet for optical flow estimation 

    Tian, Yi; Andrade-Cetto, Juan (2022)
    Conference report
    Open Access
    Event cameras are bioinspired sensors that produce asynchronous and sparse streams of events at image locations where intensity change is detected. They can detect fast motion with low latency, high dynamic range, and low ...
  • Design of shifting output-feedback controllers for LPV systems subject to time-varying saturations 

    Ruiz Royo, Adrián; Rotondo, Damiano; Morcego Seix, Bernardo (2022)
    Conference report
    Open Access
    This paper considers the problem of designing a shifting output-feedback controller for polytopic linear parameter-varying (LPV) systems subject to time-varying saturations. By means of the LPV framework and the use of the ...
  • A set-based uncertainty quantification of evolving fuzzy models for data-driven prognostics 

    Khoury, Boutrous; Bessa, Iury; Nejjari Akhi-Elarab, Fatiha; Puig Cayuela, Vicenç (Springer, 2022)
    Conference report
    Restricted access - publisher's policy
    Recent years have seen a great deal of innovation in the field of systems prognostics and health management. However, even with these advancements, some pertinent issues related with uncertainty in remaining useful life ...
  • Learned vertex descent: a new direction for 3D human model fitting 

    Corona Puyane, Enric; Pons-Moll, Gerard; Alenyà Ribas, Guillem; Moreno-Noguer, Francesc (Springer, 2022)
    Conference report
    Open Access
    We propose a novel optimization-based paradigm for 3D human model fitting on images and scans. In contrast to existing approaches that directly regress the parameters of a low-dimensional statistical body model (e.g. SMPL) ...
  • Planning interactions as an event handling solution for successful and balanced human-robot collaboration 

    Izquierdo Badiola, Silvia; Rizzo, Carlos; Alenyà Ribas, Guillem (2022)
    Conference report
    Restricted access - publisher's policy
    Dealing with the stochastic nature of human behaviour in Human-Robot Collaboration (HRC) remains a well known challenge that needs to be tackled. Automated task planning techniques have been implemented in order to share ...
  • Data-driven leak localization in water distribution networks via dictionary learning and graph-based interpolation 

    Irofti, Paul; Romero Ben, Luis; Stoican, Florin; Puig Cayuela, Vicenç (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    In this paper, we propose a data-driven leak localization method for water distribution networks (WDNs) which combines two complementary approaches: graph-based interpolation and dictionary classification. The former ...
  • Context and intention for 3D human motion prediction: experimentation and user study in handover tasks 

    Laplaza Galindo, Javier; Garrell Zulueta, Anais; Moreno-Noguer, Francesc; Sanfeliu Cortés, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    In this work we present a novel attention deep learning model that uses context and human intention for 3D human body motion prediction in handover human-robot tasks. This model uses a multi-head attention architecture ...
  • Economic reliability-aware MPC for pperational management of flow-based networks using bayesian networks 

    Pedrosa Alias, Javier; Puig Cayuela, Vicenç; Nejjari Akhi-Elarab, Fatiha (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    This paper presents an economic reliability-Aware Model Predictive Control (MPC) approach for the Prognostics and Health Management (PHM) of generalized flow-based networks. The main enhancement with respect to some existing ...
  • Robot navigation anticipative strategies in deep reinforcement motion planning 

    Gil Viyuela, Óscar; Sanfeliu Cortés, Alberto (Springer, 2022)
    Conference report
    Restricted access - publisher's policy
    The navigation of robots in dynamic urban environments, re-quires elaborated anticipative strategies for the robot to avoid collisions with dynamic objects, like bicycles or pedestrians, and to be human aware. ...
  • Improved task planning through failure anticipation in human-robot collaboration 

    Izquierdo Badiola, Silvia; Canal Camprodon, Gerard; Rizzo, Carlos; Alenyà Ribas, Guillem (2022)
    Conference report
    Open Access
    The human state is defined in terms of capacity, knowledge and motivation. The system has been implemented in a standardised environment using the Planning Domain Definition Language (PDDL) and the modular ROSPlan framework, ...
  • Cloth manipulation and perception competition 

    Garcia Camacho, Irene; Borràs Sol, Júlia; Calli, Berk; Norton, Adam; Alenyà Ribas, Guillem (2022)
    Conference report
    Open Access
    In the last decade, several competitions in robotic manipulation have been organised as a way to drive scientific progress in the field. They enable comparison of different approaches through a well-defined benchmark with ...
  • Knowledge representation to enable high-level planning in cloth manipulation tasks 

    Garcia Camacho, Irene; Borràs Sol, Júlia; Alenyà Ribas, Guillem (2022)
    Conference report
    Open Access
    Cloth manipulation is very relevant for domestic robotic tasks, but it presents many challenges due to the complexity of representing, recognizing and predicting the behaviour of cloth under manipulation. In this work, we ...

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