activity
20232026
most citedUsing Large Language Models for Interpreting Autonomous Robots Behaviors

9 citations · 20 across the 10 of their papers we have counts for

collaborators

10 papers

cs.RO2026

AXON: A ROS 2 RMW with Shared-Memory/QUIC Transport and QKD/ML-KEM Key Establishment

Sergio Sánchez de la Fuente, Miguel Ángel González-Santamarta, Francisco Javier Rodríguez-Lera +2

Robot Operating System 2 (ROS 2) standardizes application code against a middleware interface (RMW) whose reference implementations are built on the Data Distribution Service (DDS)…

cs.RO2025

Procedimiento de auditoría de ciberseguridad para sistemas autónomos: metodología, amenazas y mitigaciones

Adrián Campazas-Vega, Claudia Álvarez-Aparicio, David Sobrín-Hidalgo +4

The deployment of autonomous systems has experienced remarkable growth in recent years, driven by their integration into sectors such as industry, medicine, logistics, and domestic…

cs.CR2025

Anomaly detection in network flows using unsupervised online machine learning

Alberto Miguel-Diez, Adrián Campazas-Vega, Ángel Manuel Guerrero-Higueras +2

Nowadays, the volume of network traffic continues to grow, along with the frequency and sophistication of attacks. This scenario highlights the need for solutions capable of contin…

cs.RO2025

Integrating Quantized LLMs into Robotics Systems as Edge AI to Leverage their Natural Language Processing Capabilities

Miguel Á. González-Santamarta, Francisco J. Rodríguez-Lera, David Sobrín-Hidalgo +2

Large Language Models (LLMs) have experienced great advancements in the last year resulting in an increase of these models in several fields to face natural language tasks. The int…

cs.CR2025★ 6 cited

A systematic literature review of unsupervised learning algorithms for anomalous traffic detection based on flows

Alberto Miguel-Diez, Adrián Campazas-Vega, Claudia Álvarez-Aparicio +2

The constant increase of devices connected to the Internet, and therefore of cyber-attacks, makes it necessary to analyze network traffic in order to recognize malicious activity.…

cs.RO2024★ 1 cited

Enhancing Robot Explanation Capabilities through Vision-Language Models: a Preliminary Study by Interpreting Visual Inputs for Improved Human-Robot Interaction

David Sobrín-Hidalgo, Miguel Ángel González-Santamarta, Ángel Manuel Guerrero-Higueras +2

This paper presents an improved system based on our prior work, designed to create explanations for autonomous robot actions during Human-Robot Interaction (HRI). Previously, we de…