Daniel Teso-Fz-Betoño

Profesor Laboral Interino de Universidad (LIU)

University of the Basque Country

Spain

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About

Daniel Teso-Fz-Betoño is an Interim Labor Professor at the University of the Basque Country in Spain. His research areas include optimization of energy efficiency in mobile robot navigation, smart charging systems for electric vehicles, and the application of drones and AI in inventory management. He has also explored neural networks and fluid dynamics, demonstrating a strong focus on innovative solutions in engineering and robotics.

Articles (15)

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2025

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2025

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2025

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2025

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2024

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2023

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2022

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2022

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2021

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2021

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2021

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2020

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2020

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2020

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2020

Collaborators (4)

Koldo Portal-Porras

University of the Basque Country

SPAIN

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Iñigo Aramendia

Assistant Professor

University of the Basque Country

SPAIN

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Jon Martinez-Rico

Lecturer

University of the Basque Country

SPAIN

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U. Fernandez-Gamiz

University of the Basque Country

SPAIN

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Daniel Teso-Fz-Betoño

Research Interests

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About

Articles (15)

Optimization of Energy Efficiency with a Predictive Dynamic Window Approach for Mobile Robot Navigation

Smart Low-Cost On-Board Charger for Electric Vehicles Using Arduino-Based Control

PRISMA Review: Drones and AI in Inventory Creation of Signage

Optimization of the Design and Control System of a Backup Power System Based on Batteries and Generator Set

Gestión inteligente de recarga del vehículo eléctrico con materiales económicos

2D PIV/PTV–3D uRANS RSM Investigation on the Combined Effect of Iron Filings Filtering Techniques in a Backward Facing Step Flow

A Study of Learning Issues in Feedforward Neural Networks

Neural architecture search for the estimation of relative positioning of the autonomous mobile robot

Estimating the Reattachment Length by Realizing a Comparison between URANS k-Omega SST and LES WALE Models on a Symmetric Geometry

Testing the Accuracy of the Cell-Set Model Applied on Vane-Type Sub-Boundary Layer Vortex Generators

Differential Evolution Optimal Parameters Tuning with Artificial Neural Network

Piezoelectric Energy Harvesting Controlled with an IGBT H-Bridge and Bidirectional Buck–Boost for Low-Cost 4G Devices

Kharitonov Theorem Based Robust Stability Analysis of a Wind Turbine Pitch Control System

Semantic Segmentation to Develop an Indoor Navigation System for an Autonomous Mobile Robot

Flow control based 5 MW wind turbine enhanced energy production for hydrogen generation cost reduction

Collaborators (4)

Koldo Portal-Porras

Iñigo Aramendia

Jon Martinez-Rico

U. Fernandez-Gamiz

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