Zerrendatu Kongresuak-Ingeniaritza honen arabera: ikerketa taldea "Robótica y automatización"
13-tik 1-13 emaitza erakusten
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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 ... -
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 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 ... -
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 ... -
An Interactive Game-based Learning Framework with a Social Robot to Promote Well-being of Dyslexic Children
(2023)This paper presents the preliminary design and development of a generalized Child-Robot-Interaction framework involving interactive game-play between the socially assistive robot NAO and children with varying types of ... -
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 ... -
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 ... -
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. ... -
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 ...
