Browsing by Research Group "Robótica y automatización"
Now showing items 1-15 of 15
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3D inspection methods for specular or partially specular surfaces
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2020)Deflectometric techniques are a powerful tool for the automated quality control of specular or shiny surfaces. These techniques are based on using a camera to observe a reference pattern reflected on the surface under ... -
ADAPT: an Automatic Diagnosis of Activity and Processes in auTomation environments
(IEEE, 2020)In an automated industrial environment, a large volume of data and signals is available, both from sensors and actuators in machinery and from the interaction with operators and users. Operation diagnosis can have multiple ... -
Anomaly Detection and Automatic Labeling for Solar Cell Quality Inspection Based on Generative Adversarial Network
(MDPI, 2021)Quality inspection applications in industry are required to move towards a zero-defect manufacturing scenario, with non-destructive inspection and traceability of 100% of produced parts. Developing robust fault detection ... -
A digital twin framework for the simulation and optimization of production systems
(Elsevier B.V., 2021)Industry 4.0 has raised the expectations on productivity, automation, and resource efficiency of manufacturing systems. This paper proposes a digital twin framework for the simulation and optimization of production lines ... -
FlexRQC: Model for a Flexible Robot-Driven Quality Control Station
(Elsevier Ltd., 2020)As the investment on a dedicated quality control stations is not desirable for limited production batches. In general, those systems result in very optimised systems and the lack of flexibility since they are designed for ... -
In-Line Dimensional Inspection of Warm-Die Forged Revolution Workpieces Using 3D Mesh Reconstruction
(MDPI, 2019)Industrial dimensional assessment presents instances in which early control is exerted among “warm” (approx. 600 ºC) pieces. Early control saves resources, as defective processes are timely stopped and corrected. Existing ... -
Learning and generalising object extraction skill for contact-rich disassembly tasks: an introductory study
(Springer, 2021)Remanufacturing automation must be designed to be flexible and robust enough to overcome the uncertainties, conditions of the products, and complexities in the planning and operation of the processes. Machine learning ... -
A methodology and experimental implementation for industrial robot health assessment via torque signature analysis
(MDPI AG, 2020)This manuscript focuses on methodological and technological advances in the field of health assessment and predictive maintenance for industrial robots. We propose a non-intrusive methodology for industrial robot joint ... -
A Multi Camera and Multi Laser Calibration Method for 3D Reconstruction of Revolution Parts
(MDPI, 2021)This paper describes a method for calibrating multi camera and multi laser 3D triangulation systems, particularly for those using Scheimpflug adapters. Under this configuration, the focus plane of the camera is located at ... -
Optical Dual Laser Based Sensor Denoising for OnlineMetal Sheet Flatness Measurement Using Hermite Interpolation
(MDPI AG, 2020)Flatness sensors are required for quality control of metal sheets obtained from steel coils by roller leveling and cutting systems. This article presents an innovative system for real-time robust surface estimation of ... -
Petri net implementation in programmable logic controllers: methodology for development and validation
(IEEE, 2021)Lead times are key to good market positioning of providers of automated solutions based on a programmable logic controller (PLC). Testing control software against a digital twin (DT) of the process, any programming errors ... -
Petri net-based semi-compiled code generation for programmable logic controllers
(MDPI, 2021)Industrial discrete event dynamic systems (DEDSs) are commonly modeled by means of Petri nets (PNs). PNs have the capability to model behaviors such as concurrency, synchronization, and resource sharing, compared to a step ... -
skrl: Modular and Flexible Library for Reinforcement Learning
(ArXiv, 2022)skrl is an open-source modular library for reinforcement learning written in Python and designed with a focus on readability, simplicity, and transparency of algorithm implementations. Apart from supporting environments ... -
Virtual commissioning in machine tool manufacturing: a survey from industry
(Federación de Asociaciones de Ingenieros Industriales de España, 2021)Virtual commissioning has acquired a major interest with the introduction of Industry 4.0. It is demonstrated that virtual commissioning can significantly reduce the commissioning time, error rate and costs. However, ... -
Virtual commissioning of a robotic cell: an educational case study
(IEEE, 2019)The emergence of software tools for testing control programs and virtual commissioning (VC) in industrial automation projects makes it possible to shorten lead times and improve product quality, but it also brings to light ...
