Browsing by Research Group "Robótica y automatización"
Now showing items 21-38 of 38
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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 ... -
Labor Induction failure prediction using Gabor filterbanks and Center Symmetric Local Binary Patterns
(IEEE, 2018)Labor induction is defined as the artificial stimulation of uterine contractions aimed to induce vaginal birth. Occurring in about 20% of pregnancies labor induction has become one the most commonly practiced procedures ... -
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 ... -
Phase-shifted imaging on multi-directional induction thermography
(Springer Nature, 2023)A novel multi-directional eddy current thermography (ECT) system is presented generating sets of directional phase images that have been fused with a processing pipeline allowing for an improved probability of detection ... -
A review on reinforcement learning for contact-rich robotic manipulation tasks
(Elsevier, 2023)Research and application of reinforcement learning in robotics for contact-rich manipulation tasks have exploded in recent years. Its ability to cope with unstructured environments and accomplish hard-to-engineer behaviors ... -
A Scalable and Unified Multi-Control Framework for KUKA LBR iiwa Collaborative Robots
(IEEE, 2023)The trend towards industrialization and digitalization has led more and more companies to deploy robots in their manufacturing facilities. In the field of collaborative robotics, the KUKA LBR iiwa is one of the benchmark ... -
Shielded Reinforcement Learning: A review of reactive methods for safe learning
(IEEE, 2023)Reinforcement Learning (RL) algorithms are showing promising results in simulated environments, but their replication in real physical applications, even more so in safety-critical applications, is not yet guaranteed. ... -
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 ... -
Sparse sampling-based view planning for complex geometries
(IEEE, 2024)In this paper, an automatic sampling-based view planning algorithm is proposed, for accurate 3D reconstruction of complex geometry parts present in manufacturing. The initial viewpoint sampling method is able to lower the ... -
Testing the verification and validation capability of a DCP-based interface for distributed real-time applications
(MDPI, 2023)Cyber–physical systems (CPS) integrate diverse elements developed by various vendors, often dispersed geographically, posing significant development challenges. This paper presents an improved version of our previously ... -
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 ... -
Visual Odometry in Challenging Environments: An Urban Underground Railway Scenario Case
(IEEE, 2022)Localization is one of the most critical tasks for an autonomous vehicle, as position information is required to understand its surroundings and move accordingly. Visual Odometry (VO) has shown promising results in the ...