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Optimal recharge sequencing in multi-AGV systems: A mixed ILP approach
(2024-10)
Article
Open AccessBattery 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
(Institute of Electrical and Electronics Engineers (IEEE), 2024-01-01)
Article
Open AccessCollaborative 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
(Multidisciplinary Digital Publishing Institute, 2024-09-03)
Article
Open AccessAutomatic 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
(2024-06-01)
Article
Open AccessDexterous 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
(Institute of Electrical and Electronics Engineers (IEEE), 2024-01-05)
Article
Open AccessAutomated 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
Restricted access - publisher's policyLa 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
(2023-03)
Article
Open AccessIntegrating 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
Open AccessOne 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
Open AccessWhile 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
Open AccessRecent 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
(2022-07)
Article
Open AccessThis 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
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-06-15)
Article
Open AccessThe 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 ...