71 citations
- Universidad Politécnica de MadridES10 papers
- Consejo Superior de Investigaciones CientíficasES9 papers
- Institute of Mathematical SciencesIN5 papers
- Universidad Carlos III de MadridES5 papers
- Universidad Autónoma de MadridES4 papers
- Real Academia EspañolaES3 papers
- Consejo Nacional de Investigaciones Científicas y TécnicasAR2 papers
- Institute of PsychologyPL2 papers
- Instituto de Física FundamentalES2 papers
- Texas A&M UniversityUS2 papers
- Universidad Nacional de La PlataAR2 papers
- Antwerp Management SchoolBE1 paper
35 papers
Distributed Coordination for Resilient Multi-UAV Remote Sensing: A Photovoltaic Inspection Case Study
Guillermo GP-Lenza, Miguel Fernandez-Cortizas, Martin Molina +1
Deploying multiple UAVs for remote sensing enables proportional reductions in mission time, but realizing these benefits requires the fleet to coordinate at runtime: distributing s…
Flocking behavior for dynamic and complex swarm structures
Carmen D. R. Pita-Romero, Pedro Arias-Perez, Miguel Fernandez-Cortizas +2
Maintaining the formation of complex structures with multiple UAVs and achieving complex trajectories remains a major challenge. This work presents an algorithm for implementing th…
A Methodology for Designing Knowledge-Driven Missions for Robots
Guillermo GP-Lenza, Carmen DR. Pita-Romero, Miguel Fernandez-Cortizas +1
This paper presents a comprehensive methodology for implementing knowledge graphs in ROS 2 systems, aiming to enhance the efficiency and intelligence of autonomous robotic missions…
Egorov-Type Semiclassical Limits for Open Quantum Systems with a Bi-Lindblad Structure
Leonardo Colombo, Asier López-Gordón
This paper develops a bridge between bi-Hamiltonian structures of Poisson--Lie type, contact Hamiltonian dynamics, and the Gorini--Kossakowski--Sudarshan--Lindblad (GKSL) formalism…
Mass-Scale Analysis of In-the-Wild Conversations Reveals Complexity Bounds on LLM Jailbreaking
Aldan Creo, Raul Castro Fernandez, Manuel Cebrian
As large language models (LLMs) become increasingly deployed, understanding the complexity and evolution of jailbreaking strategies is critical for AI safety. We present a mass-sca…
Detection of Endangered Deer Species Using UAV Imagery: A Comparative Study Between Efficient Deep Learning Approaches
Agustín Roca, Gastón Castro, Gabriel Torre +4
This study compares the performance of state-of-the-art neural networks including variants of the YOLOv11 and RT-DETR models for detecting marsh deer in UAV imagery, in scenarios w…