Zerrendatu Artikuluak-Ingeniaritza honen arabera: ikerketa taldea "Robótica y automatización"
32-tik 1-20 emaitza erakusten
-
A comprehensive analytical sizing methodology for transverse and radial flux machines
(IEEE, 2023)Transverse flux machines have the potential to offer high torque density in direct-drive vehicle traction applications. Besides, sizing equations are a wide-spread technique for transverse flux machines design, as their ... -
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 Coloured Petri Net- and D* Lite-Based Traffic Controller for Automated Guided Vehicles
(MDPI, 2021)Mobile robots, such as Automated Guided Vehicles (AGVs), are increasingly employed in automated manufacturing systems or automated warehouses. They are used for many kinds of applications, such as goods and material handling. ... -
Context-aware workflow management for smart manufacturing: A literature review of semantic web-based approaches
(Elsevier, 2023)Smart Manufacturing Systems (SMS) are software systems that identify opportunities for automating manufacturing operations by using Internet of Things (IoT) devices and services connected to machines. An active challenge ... -
Data-efficient reinforcement learning for variable impedance control
(IEEE, 2024)One of the most crucial steps toward achieving human-like manipulation skills in robots is to incorporate compliance into the robot controller. Compliance not only makes the robot’s behaviour safe but also makes it more ... -
Deflectometric data segmentation for surface inspection: a fully convolutional neural network approach
(SPIE, 2020)The purpose of this paper is to explore the use of fully convolutional neural networks (FCN) to perform a semantic segmentation of deflectometric recordings for quality control of reflective surfaces. The proposed method ... -
Digital Robot Judge: Building a Task-centric Performance Database of Real-World Manipulation With Electronic Task Boards
(IEEE, 2024)Robotics aims to develop manipulation skills approaching human performance. However, skill complexity is often over- or underestimated based on individual experience, and the real-world performance gap is difficult or ... -
Digital Twins: building your own virtual lab for enhanced vocational education training
(Tknika, 2023)The emergence, in the context of Industry 4.0, of tools for developing Digital Twins of automated industrial systems brings about a paradigm shift in the development of control systems. Their virtual commissioning allows ... -
Dynamic context-aware workflow management architecture for efficient manufacturing: A ROS-based case study
(Elsevier, 2024)The manufacturing industry of the future requires innovative approaches to optimize operational efficiency and adaptability. Integrating context-awareness into workflow management systems has emerged as a promising avenue ... -
EEG motor imagery classification: tangent space with gate-generated weight classifier
(MDPI, 2024)Individuals grappling with severe central nervous system injuries often face significant challenges related to sensorimotor function and communication abilities. In response, brain–computer interface (BCI) technology has ... -
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 ... -
Fusion dynamical systems with machine learning in imitation learning: A comprehensive overview
(Elsevier, 2024)Imitation Learning (IL), also referred to as Learning from Demonstration (LfD), holds significant promise for capturing expert motor skills through efficient imitation, facilitating adept navigation of complex scenarios. ... -
A Generic Interface for x-in-the-Loop Simulations Based on Distributed Co-Simulation Protocol
(IEEE, 2023)Co-simulation is a key step in the development of today’s complex cyber-physical systems (CPS), specially in the integration and validation activities. However, performing a co-simulation involving models developed in ... -
Goal-Conditioned Reinforcement Learning within a Human-Robot Disassembly Environment
(MDPI, 2022)The introduction of collaborative robots in industrial environments reinforces the need to provide these robots with better cognition to accomplish their tasks while fostering worker safety without entering into safety ... -
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 ... -
Learning periodic skills for robotic manipulation: Insights on orientation and impedance
(Elsevier, 2024)Many daily tasks exhibit a periodic nature, necessitating that robots possess the ability to execute them either alone or in collaboration with humans. A widely used approach to encode and learn such periodic patterns from ... -
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 ... -
Novel automated interactive reinforcement learning framework with a constraint-based supervisor for procedural tasks
(Elsevier, 2025)Learning to perform procedural motion or manipulation tasks in unstructured or uncertain environments poses significant challenges for intelligent agents. Although reinforcement learning algorithms have demonstrated positive ...
