IOC - Institut d'Organització i Control de Sistemes Industrials
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Altres [0]
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Articles de revista [115]
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Llibres [0]
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Presentacions [0]
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Reports de recerca [88]
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Working papers [0]
Enviaments recents
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Traffic management of multi-AGV systems by improved dynamic resource reservation
(Institute of Electrical and Electronics Engineers (IEEE), 2024-01-05)
Article
Accés obertAutomated 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)
(2022-03-03)
Article
Accés restringit per política de l'editorialLa 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
(2023)
Comunicació de congrés
Accés obertLa 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
(2023)
Text en actes de congrés
Accés obertMobile 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
(Universidade da Coruña. Servizo de Publicacións, 2023)
Comunicació de congrés
Accés obertUna 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
(2023)
Comunicació de congrés
Accés obertAutonomous 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
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Text en actes de congrés
Accés obertThe 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
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Text en actes de congrés
Accés obertOne 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
(2023-03)
Article
Accés restringit per política de l'editorialIntegrating 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
(2023-02)
Article
Accés restringit per política de l'editorialOne 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
(2022-06)
Article
Accés obertWhile 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
(2023-03)
Article
Accés restringit per política de l'editorialRecent 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 ...