Recent Submissions

  • 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
    Restricted access - publisher's policy
    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
    Restricted access - publisher's policy
    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
    Restricted access - publisher's policy
    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
    Restricted access - publisher's policy
    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 ...
  • Real-time classification of aluminum metal scrap with laser-induced breakdown spectroscopy using deep and other machine learning approaches 

    Diaz-Romero, Dillam; Van den Eynde, Simon; Sterkens, Wouter; Zaplana Agut, Isiah; Goedemé, Toon; Peeters, Jef R. (2022-10)
    Article
    Restricted access - publisher's policy
    In the recycling industry, the use of deep spectral convolutional networks for the purpose of material classification and composition estimation is still limited, despite the great opportunities of these techniques. In ...
  • Design and analysis of a fully actuated cable-driven joint for hyper-redundant robots with optimal cable routing 

    Guardiani, Paolo; Ludovico, Daniele; Pistone, Alessandro; Abidi, Haider; Lee, Jinoh; Caldwell, Darwin; Zaplana Agut, Isiah; Canali, Carlo (ASME PRESS, 2022-04-01)
    Article
    Open Access
    Cable-driven hyper-redundant robots have been adopted in many fields for accessing harsh and confined environments that may be inaccessible or dangerous for humans. The cable actuation strategy makes the robot hardware ...
  • Assessing the efficiency of Laser-Induced Breakdown Spectroscopy (LIBS) based sorting of post-consumer aluminium scrap 

    Van den Eynde, Simon; Diaz-Romero, Dillam; Engelen, Bart; Zaplana Agut, Isiah; Peeters, Jef R. (Elsevier, 2022)
    Article
    Open Access
    The aluminium Twitch fraction of a Belgian recycling facility could be further sorted by implementing Laser-Induced Breakdown Spectroscopy (LIBS). To achieve this goal, the presented research identifies commercially ...
  • Techno-economic assessment of robotic sorting of aluminium scrap 

    Engelen, Bart; De Marelle, Dieter; Van den Eynde, Simon; Peeters, Jef R.; Zaplana Agut, Isiah; Kellens, Karel (Elsevier, 2022)
    Article
    Open Access
    Due to shifting material use in several sectors, such as the automotive sector, the demand for wrought aluminium alloys is significantly increasing. Because of their low weight and desirable mechanical properties, wrought ...

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