Recent Submissions

  • Optimal recharge sequencing in multi-AGV systems: A mixed ILP approach 

    Lo Iudice, Francesco; Olm Miras, Josep Maria; Suárez Feijóo, Raúl (2024-10)
    Article
    Open Access
    Battery level is a critical issue in AGV transportation systems, as AGVs cannot run out of power while operating. Hence, at some point they will be forced to stop and recharge at any of the charging stations available in ...
  • Distributed control for collaborative robotic systems using 5G edge computing 

    Urbaniak, Dominik; Bro Damsgaard, Sebastian; Zhang, Weifan; Rosell, Jan; Suárez Feijóo, Raúl; Suppa, Michael (Institute of Electrical and Electronics Engineers (IEEE), 2024-01-01)
    Article
    Open Access
    Collaborative and mobile robotics for industrial environments promise to enable autonomous and flexible production processes. However, this vision also poses significant challenges to the robotic systems, requiring them ...
  • Effect of layout discretization on the performance of zone control-based multi-AGV traffic management systems 

    Verma, Parikshit; Olm Miras, Josep Maria; Suárez Feijóo, Raúl (Multidisciplinary Digital Publishing Institute, 2024-09-03)
    Article
    Open Access
    Automatic Guided Vehicles (AGVs) are widely used in flexible manufacturing systems for material handling inside the factory. Traffic management strategies, required to guarantee a conflict-free operation of the overall ...
  • Learning-based planner for unknown object dexterous manipulation using ANFIS 

    Sheikhsamad, Mohammad; Suárez Feijóo, Raúl; Rosell Gratacòs, Jan (2024-06-01)
    Article
    Open Access
    Dexterous manipulation of unknown objects performed by robots equipped with mechanical hands represents a critical challenge. The difficulties arise from the absence of a precise model of the manipulated objects, unpredictable ...
  • 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
    Open Access
    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
    Restricted access - publisher's policy
    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 ...
  • 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
    Open Access
    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
    Open Access
    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
    Open Access
    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
    Open Access
    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 ...
  • Closed-form solutions for the inverse kinematics of serial robots using conformal geometric algebra 

    Zaplana Agut, Isiah; Hadfield, Hugo; Lasenby, Joan (2022-07)
    Article
    Open Access
    This work addresses the inverse kinematics of serial robots using conformal geometric algebra. Classical approaches include either the use of homogeneous matrices, which entails high computational cost and execution time, ...
  • Singularities of serial robots: identification and distance computation using geometric algebra 

    Zaplana Agut, Isiah; Hadfield, Hugo; Lasenby, Joan (Multidisciplinary Digital Publishing Institute (MDPI), 2022-06-15)
    Article
    Open Access
    The singularities of serial robotic manipulators are those configurations in which the robot loses the ability to move in at least one direction. Hence, their identification is fundamental to enhance the performance of ...

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