Listar por grupo de investigación "Robótica y automatización"
Mostrando ítems 1-20 de 44
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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 ... -
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 ... -
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 ... -
Application of Computer Vision and Deep Learning in the railway domain for autonomous train stop operation
(IEEE, 2020)The purpose of this paper is to present the results of the analysis of the application of Deep Learning in the railway domain with a particular focus on a train stop operation. The paper proposes an approach consisting of ... -
Automation across interconnected smart homes
(ACM, 2024)This paper presents an affordable, open-source approach to enable interconnected smart homes, with emphasis on facilitating new modes of ambient interaction to address loneliness. Our system is designed to minimize dependence ... -
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. ... -
Computer vision techniques for autonomous vehicles applied to urban underground railway
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2022)Autonomous vehicles’ presence is becoming a reality in everyday life, with autonomous driving cars on the road, GOA3-GOA4 trains in the railway domain, or automated guided vehicles in the industrial domain. These autonomous ... -
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 ... -
Deep Learning Based Methodology For The Development Of Industrial Quality Inspection Systems
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2022)In recent years, the manufacturing industry has gone through what has been called the fourth industrial revolution or Industry 4.0. Apart from still automating industrial processes, the revolution has as well brought new ... -
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 ... -
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 ... -
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 ... -
Enhancing Flexibility in Industry 4.0 Workflows: A Context-Aware Component for Dynamic Service Orchestration
(Elsevier, 2024)Manufacturing processes of the future will rely on standards for asset interoperability and service orchestration. The Asset Administration Shell (AAS) facilitates information exchange among Industry 4.0 assets, while ... -
Evaluación de la experiencia de uso de un entorno robótico industrial en realidad virtual
(AEIPRO, 2022)Industry 4.0 is leading to a whole new level of process automation, thus redefining the role of humans, and altering existing jobs in yet unknown ways. Although the number of robots in the manufacturing industry has been ... -
Fear Field: Adaptive constraints for safe environment transitions in Shielded Reinforcement Learning
(CEUR-WS.org, 2023)Shielding methods for Reinforcement Learning agents show potential for safety-critical industrial applications. However, they still lack robustness on nominal safety, a key property for safety control systems. In the case ... -
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 ...
