In the new era of Industry, characterized by transformative technological shifts, robots have become integral to manufacturing. This paper delves into human-robot interaction (HRI), specifically emphasizing human-robot ...

Learning to perform procedural motion or manipulation tasks in unstructured or uncertain environments poses significant challenges for intelligent agents. Although reinforcement learning algorithms have demonstrated positive ...

This article presents the Mondragon-DUAL programme of Mondragon Unibertsitatea. This programme covers a collaborative learning process in a company, research center or research group starting in the second year of the ...

Citizen ownership has been associated with several benefits that can support a timely and just energy transition in the EU. However, it is important to understand that citizen ownership is very diverse and that different ...

The trend towards electrification has led to an increased use of wide-bandgap semiconductors in electric drives. These semiconductors allow the development of high power density and high efficiency drives, but also present ...

The software itself is a tool capable of estimating Li-ion battery degradation modes. Battery degradation modes group different battery degradation mechanism into three main degradation modes: Loss of Active Material (LAM) ...

GaN HEMT transistors, with their superior on-resistance and switching times, provide a promising alternative to Si and SiC devices. Commercially available normally OFF GaN transistors can be categorized into two main groups: ...

Many daily tasks exhibit a periodic nature, necessitating that robots possess the ability to execute them either alone or in collaboration with humans. A widely used approach to encode and learn such periodic patterns from ...

This paper investigates the incorporation of multiphase (MP) and variable flux (VF) permanent magnet motors to electric vehicles (EVs). A literature review is carried out first, which covers the characteristics, benefits ...