Enviaments recents

  • Traffic management of multi-AGV systems by improved dynamic resource reservation 

    Verma, Parikshit; Olm Miras, Josep Maria; Suárez Feijóo, Raúl (Institute of Electrical and Electronics Engineers (IEEE), 2024-01-05)
    Article
    Accés obert
    Automated guided vehicles (AGVs) are widely used for material handling in warehouses and automated production lines due to their high efficiency and low failure rate with respect to human operated load carriers. However, ...
  • Robot Operating System (ROS) 

    Suárez Feijóo, Raúl; Rosell Gratacòs, Jan; Vinagre, Manuel; Cortes, Francesc; Ansuategui, Ander; Maurtua, Iñaki; Martin, Daniel; Guasch Petit, Antonio; Azpiazu, Jon; Serrano, Daniel; García, Néstor (2022-03-03)
    Article
    Accés restringit per política de l'editorial
    La irrupción de sistemas robóticos en la industria está generando una creciente demanda de necesidades de comunicación entre los múltiples procesos involucrados. Las ‘fábricas inteligentes’ son ya un hecho tras la eclosión ...
  • Computación frontera: influencia de latencias en la precisión de robots 

    Urbaniak, Dominik; Rosell Gratacòs, Jan; Suárez Feijóo, Raúl; Suppa, Michael (2023)
    Comunicació de congrés
    Accés obert
    La computación en la frontera (edge computing) permite acceder a grandes recursos computacionales y a redes de computadores, facilitando que pequeños dispositivos con recursos limitados realicen cálculos complejos ...
  • A simple yet smart head module for mobile manipulators 

    Aguilar, Martín; Ronquillo, Diego; Rosell Gratacòs, Jan; Palomo Avellaneda, Leopold; Suárez Feijóo, Raúl (2023)
    Text en actes de congrés
    Accés obert
    Mobile manipulators working in semi-structured human environments need smart vision capabilities to perceive the world and interact with human operators. With this purpose in mind, this paper presents the development of a ...
  • Resolución geométrica de la cinemática inversa de un robot sin muñeca esférica 

    Palomo Avellaneda, Leopold; Rosell Gratacòs, Jan; Suárez Feijóo, Raúl; Zaplana Agut, Isiah (Universidade da Coruña. Servizo de Publicacións, 2023)
    Comunicació de congrés
    Accés obert
    Una de las aplicaciones más conocidas del álgebra geométrica en la ingenierìa consiste en proporcionar una formulación compacta de la cinemática de los robots manipuladores serie. Sin embargo, el uso de álgebra geométrica ...
  • BE-AWARE: an ontology-based adaptive robotic manipulation framework 

    Ruiz Celada, Oriol; Dalmases, Albert; Suárez Feijóo, Raúl; Rosell Gratacòs, Jan (2023)
    Comunicació de congrés
    Accés obert
    Autonomous service robots are conceived to work in semi-structured and complex human environments performing a wide range of tasks and, hence, one of their main challenges is to be able to adapt the stages of the ...
  • Enhanced plastic recycling using RGB+depth fusion with massFaster and massMask R-CNN 

    Diaz-Romero, Dillam; Zaplana Agut, Isiah; Van den Eynde, Simon; Sterkens, Wouter; Goedemé, Toon; Peeters, Jef R. (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Text en actes de congrés
    Accés obert
    The rapid increase in waste generation from electrical and electronic equipment (WEEE) has created the need for more advanced sensor-based systems to sort this complex type of waste. Therefore, this study proposes a method ...
  • A novel strategy for balancing the workload of industrial lines based on a genetic algorithm 

    Zaplana Agut, Isiah; Cepolina, Emanuela; Lucia, Oronzo; Gagliardi, Roberto; Baizid, Khelifa; D'Imperio, MariaPaola; Cannella, Ferdinando (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Text en actes de congrés
    Accés obert
    One major problem in industrial automation is the workload balancing problem. It consists of making the robots or, more generally, the machines, involved in the assembly process to work exactly the same, either by picking ...
  • Classification of aluminum scrap by laser induced breakdown spectroscopy (LIBS) and RGB + D image fusion using deep learning approaches 

    Diaz-Romero, Dillam; Van den Eynde, Simon; Zaplana Agut, Isiah; Sterkens, Wouter; Goedemé, Toon; Peeters, Jef R. (2023-03)
    Article
    Accés restringit per política de l'editorial
    Integrating multi-sensor systems to sort and monitor complex waste streams is one of the most recent innovations in the recycling industry. The complementary strengths of Laser-Induced Breakdown Spectroscopy (LIBS) and ...
  • Deep learning regression for quantitative LIBS analysis 

    Van den Eynde, Simon; Diaz-Romero, Dillam; Zaplana Agut, Isiah; Peeters, Jef R. (2023-02)
    Article
    Accés restringit per política de l'editorial
    One of the most promising innovation strategies for sorting and recycling post-consumer aluminium scrap is using quantitative Laser-Induced Breakdown Spectroscopy (LIBS) analysis. However, existing methods to estimate ...
  • Simultaneous mass estimation and class classification of scrap metals using deep learning 

    Diaz-Romero, Dillam; Van den Eynde, Simon; Sterkens, Wouter; Engelen, Bart; Zaplana Agut, Isiah; Dewulf, Wim; Goedemé, Toon; Peeters, Jef R. (2022-06)
    Article
    Accés obert
    While deep learning has helped improve the performance of classification, object detection, and segmentation in recycling, its potential for mass prediction has not yet been explored. Therefore, this study proposes a system ...
  • You Only Demanufacture Once (YODO): WEEE retrieval using unsupervised learning 

    Zhou, Chuangchuang; Sterkens, Wouter; Diaz-Romero, Dillam; Zaplana Agut, Isiah; Peeters, Jef R. (2023-03)
    Article
    Accés restringit per política de l'editorial
    Recent developments in robotic demanufacturing raise the potential to increase the cost-efficiency of recycling and recovering resources from Waste of Electrical and Electronic Equipment (WEEE). However, the industrial ...

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