Daniel Reguera-Bakhache

Active Power Optimization of a Turning Process by Cutting Conditions Selection: A Q-Learning Approach

A. Duo, Daniel Reguera-Bakhache, Unai Izaguirre, 2022, 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA).

An Adaptive Industrial Human-Machine Interface to Optimise Operators Working Performance

Carlos Cernuda, Roberto Uribeetxeberria, Urko Zurutuza, 2021, 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM).

Exploring the transformation of user interactions to Adaptive Human-Machine Interfaces

Ganix Lasa, Daniel Reguera-Bakhache, Angela Carrera-Rivera, 2023, Interacción.

Data-Driven Industrial Human-Machine Interface Temporal Adaptation for Process Optimization

Roberto Uribeetxeberria, Urko Zurutuza, Daniel Reguera-Bakhache, 2020, 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).