Listar por publicado en "IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)"

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ADAPT: an Automatic Diagnosis of Activity and Processes in auTomation environments

Azkarate, Igor; Aguirre, Aitor; Uranga Andrés, Josu; Eciolaza, Luka (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 ...
Data-Driven Industrial Human-Machine Interface Temporal Adaptation for Process Optimization

Reguera-Bakhache, Daniel; Garitano, Iñaki; Uribeetxeberria, Roberto; Cernuda, Carlos; Zurutuza, Urko (IEEE, 2020)

The application of Artificial Intelligence (AI) into Industrial Human-Machine Interfaces (HMIs) moved old systems with physical buttons and analogue actuators into adaptive interaction models and context-based self adjusted ...
Virtual commissioning of a robotic cell: an educational case study

Azkarate, Igor; Eciolaza, Luka (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 ...