240 citations
- Universidad Carlos III de MadridES29 papers
- Universidad Autónoma de MadridES13 papers
- Universidad Complutense de MadridES11 papers
- Universidad Politécnica de MadridES9 papers
- Consejo Superior de Investigaciones CientíficasES7 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Instituto de Ciencia de Materiales de MadridES5 papers
- Delft University of TechnologyNL4 papers
- Energy Research Centre of the NetherlandsNL4 papers
- Instituto de Investigación TecnológicaES4 papers
- École PolytechniqueFR3 papers
- Institute of Mathematical SciencesIN3 papers
91 papers
Optimizing Monetization Strategies for Generative AI Firms: Implications for Search Engagement
Veronica Rosendo-Rios, Paurav Shukla
As Generative Artificial Intelligence (GenAI) platforms, such as ChatGPT, have transformed digital search querying behavior, mounting operational costs challenge firms to explore a…
Grid-Forming Converter DC-link Control Considering the Primary Energy Source
Carlo de Paolis Robles, Andrés Tomás-Martín, Ignacio Egido +1
The gradual substitution of conventional synchronous generators by converter-interfaced renewable energy sources raises concerns about the reduction of conventional inertia in elec…
Sinusoidality Index
J. Gutiérrez Florensa, L. Sigrist, Á. Ortega +1
Maintaining sinusoidal or near-sinusoidal operating conditions in electrical systems is essential, as is their accurate assessment. This letter proposes a novel metric, namely the…
Hamiltonian Reduction in Affine Principal Bundles
Miguel Ángel Berbel, Marco Castrillón López
This paper presents a Hamiltonian reduction procedure for field theories over affine principal bundles introducing a canonical identification to describe the reduced multisymplecti…
Boosting Deep Reinforcement Learning with Semantic Knowledge for Robotic Manipulators
Lucía Güitta-López, Vincenzo Suriani, Jaime Boal +2
Deep Reinforcement Learning (DRL) is a powerful framework for solving complex sequential decision-making problems, particularly in robotic control. However, its practical deploymen…
Sim-to-Real Transfer via a Style-Identified Cycle Consistent Generative Adversarial Network: Zero-Shot Deployment on Robotic Manipulators through Visual Domain Adaptation
Lucía Güitta-López, Lionel Güitta-López, Jaime Boal +1
The sample efficiency challenge in Deep Reinforcement Learning (DRL) compromises its industrial adoption due to the high cost and time demands of real-world training. Virtual envir…