Recent Submissions

  • Knowledge representation for explainability in collaborative robotics and adaptation 

    Olivares Alarcos, Alberto; Foix Salmerón, Sergi; Alenyà Ribas, Guillem (CEUR-WS.org, 2021)
    Conference report
    Open Access
    Autonomous robots are going to be used in a large diversity of contexts, interacting and/or collaborating with humans, who will add uncertainty to the collaborations and cause re-planning and adaptations to the execution ...
  • 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 ...
  • PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation 

    Guo, Wen; Corona Puyane, Enric; Moreno-Noguer, Francesc; Alameda-Pineda, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Recent literature addressed the monocular 3D pose estimation task very satisfactorily. In these studies, different persons are usually treated as independent pose instances to estimate. However, in many every-day situations, ...
  • 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 ...
  • Online action recognition 

    Suárez Hernández, Alejandro; Segovia Aguas, Javier; Torras, Carme; Alenyà Ribas, Guillem (2021)
    Conference lecture
    Open Access
    Recognition in planning seeks to find agent intentions, goals or activities given a set of observations and a knowledge library (e.g. goal states, plans or domain theories). In this work we introduce the problem of Online ...
  • Automatic learning of cognitive exercises for socially assistive robotics 

    Suárez Hernández, Alejandro; Andriella, Antonio; Taranovic, Aleksandar; Segovia Aguas, Javier; Torras, Carme; Alenyà Ribas, Guillem (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    In this paper, we present a learning approach to facilitate the teaching of new board exercises to assistive robotic systems. We formulate the problem as the learning of action models using Boolean predicates, disjunctive ...
  • 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 ...
  • Stochastic neural radiance fields: quantifying uncertainty in implicit 3D representations 

    Shen, Jianxiong; Ruiz Ovejero, Adrià; Agudo Martínez, Antonio; Moreno-Noguer, Francesc (2021)
    Conference report
    Open Access
    Neural Radiance Fields (NeRF) has become a popular framework for learning implicit 3D representations and addressing different tasks such as novel-view synthesis or depth-map estimation. However, in downstream applications ...
  • Combined heat and power using high-temperature proton exchange membrane fuel cells for housing facilities 

    Sanz i López, Víctor; Lopez Diest, Guillermo; Costa Castelló, Ramon; Batlle Arnau, Carles (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Recently, new alternatives to conventional energy sources such as fossil fuels are arising due to global problems related to climate change effect and energy shortage. In this context, fuel cells and combined heat and power ...
  • Data acquisition and monitoring system for legacy injection machines 

    Silva, Bruno Miguel Lopes e; Sousa, João; Alenyà Ribas, Guillem (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Nowadays, companies must embrace the concept of Digitalization and Industry 4.0 to remain competitive in the market. The reality is that most of them do not have their industrial devices prepared to access their data on a ...
  • Online action recognition 

    Suárez Hernández, Alejandro; Segovia Aguas, Javier; Torras, Carme; Alenyà Ribas, Guillem (AAAI Press, 2021)
    Conference report
    Open Access
    Recognition in planning seeks to find agent intentions, goals or activities given a set of observations and a knowledge library (e.g. goal states, plans or domain theories). In this work we introduce the problem of Online ...

View more