Recent Submissions

  • Box-Jenkins autoregressive models for PEMFC operating under dynamical conditions 

    Aguilar Plazaola, José Agustín; Husar, Attila Peter; Andrade-Cetto, Juan (2021)
    Conference report
    Open Access
    The objective of the present work is to explore and validate autoregressive, control oriented models models Proton Exchange Membrane Fuel Cells coperatinf under dynamic condditions. Autoregressive models have several ...
  • PhysXNet: a customizable approach for learning cloth dynamics on dressed people 

    Sánchez Riera, Jordi; Pumarola Peris, Albert; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    We introduce PhysXNet, a learning-based approach to predict the dynamics of deformable clothes given 3D skeleton motion sequences of humans wearing these clothes. The proposed model is adaptable to a large variety of ...
  • Body size and depth disambiguation in multi-person reconstruction from single images 

    Ugrinovic Kehdy, Nicolas; Ruiz Ovejero, Adrià; Agudo Martínez, Antonio; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    We address the problem of multi-person 3D body pose and shape estimation from a single image. While this problem can be addressed by applying single-person approaches multiple times for the same scene, recent works have ...
  • SMPLicit: Topology-aware generative model for clothed people 

    Corona Puyane, Enric; Pumarola Peris, Albert; Alenyà Ribas, Guillem; Pons-Moll, Gerard; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    In this paper we introduce SMPLicit, a novel generative model to jointly represent body pose, shape and clothing geometry. In contrast to existing learning-based approaches that require training specific models for each ...
  • D-NeRF: neural radiance fields for dynamic scenes 

    Pumarola Peris, Albert; Corona Puyane, Enric; Pons-Moll, Gerard; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Neural rendering techniques combining machine learning with geometric reasoning have arisen as one of the most promising approaches for synthesizing novel views of a scene from a sparse set of images. Among these, stands ...
  • Human-robot collaborative multi-agent path planning using Monte Carlo tree search and social reward sources 

    Dalmasso Blanch, Marc; Garrell Zulueta, Anais; Domínguez Vidal, José Enrique; Jimenez Schlegl, Pablo; Sanfeliu Cortés, Alberto (2021)
    Conference report
    Open Access
    The collaboration between humans and robots in an object search task requires the achievement of shared plans obtained from communicating and negotiating. In this work, we assume that the robot computes, as a first step, ...
  • H3D-Net: Few-shot high-fidelity 3D head reconstruction 

    Ramon Maldonado, Eduard; Triginer Garcés, Gil; Escurt i Gelabert, Janna; Pumarola Peris, Albert; García Giráldez, Jaime; Giró Nieto, Xavier; Moreno-Noguer, Francesc (Computer Vision Foundation, 2021)
    Conference lecture
    Open Access
    Recent learning approaches that implicitly represent surface geometry using coordinate-based neural representations have shown impressive results in the problem of multi-view 3D reconstruction. The effectiveness of these ...
  • User-friendly smartphone interface to share knowledge in human-robot collaborative search tasks 

    Domínguez Vidal, José Enrique; Torres Rodriguez, Ivan Jesús; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Restricted access - publisher's policy
    Long-distance human-robot collaborative tasks require robust forms of knowledge-sharing among agents in order to optimize the performance of the task. In this paper, we propose to take advantage of the proliferation of ...
  • Attention deep learning based model for predicting the 3D Human Body Pose using the Robot Human Handover Phases 

    Laplaza Galindo, Javier; Pumarola Peris, Albert; Moreno-Noguer, Francesc; Sanfeliu Cortés, Alberto (2021)
    Conference report
    Open Access
    This work proposes a human motion prediction model for handover operations. We use in this work, the different phases of the handover operation to improve the human motion predictions. Our attention deep learning based ...
  • Multi-task closed-loop inverse kinematics stability through semidefinite programming 

    Martí Saumell, Josep; Santamaria Navarro, Àngel; Ocampo-Martínez, Carlos; Andrade-Cetto, Juan (2020)
    Conference report
    Open Access
    Today’s complex robotic designs comprise in some cases a large number of degrees of freedom, enabling for multi-objective task resolution (e.g., humanoid robots or aerial manipulators). This paper tackles the stability ...
  • Collaborative-AI: Social robots accompanying and approaching people 

    Sanfeliu Cortés, Alberto; Repiso Polo, Ely; Garrell Zulueta, Anais (CEUR-WS.org, 2020)
    Conference report
    Open Access
    Collaborative AI to approach or to accompany people using social robots will be a fundamental robotics field in the near future. If we desire to share and to collaborate with social robots during the development of our ...
  • Sampling operation with robotic UAV 

    Guerra Paradas, Edmundo; Grau Saldes, Antoni; Bolea Monte, Yolanda; Munguía Alcalá, Rodrigo Francisco (2019)
    Conference report
    Open Access
    This work presents a solution to automatize sampling tasks in a wastewater treatment plant with open air basins. At the behest of human operators, a set of UAVs managed as a network of autonomous agents will perform sample ...

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