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pro vyhledávání: '"González‐Santamarta, Miguel Ángel"'
Autor:
Sobrín-Hidalgo, David, González-Santamarta, Miguel Ángel, Guerrero-Higueras, Ángel Manuel, Rodríguez-Lera, Francisco Javier, Matellán-Olivera, Vicente
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 developed a system that used Large Language Models (LLMs) to interpret l
Externí odkaz:
http://arxiv.org/abs/2404.09705
Autor:
Fernández-Becerra, Laura, González-Santamarta, Miguel Ángel, Guerrero-Higueras, Ángel Manuel, Rodríguez-Lera, Francisco Javier, Olivera, Vicente Matellán
The deployment of autonomous agents in environments involving human interaction has increasingly raised security concerns. Consequently, understanding the circumstances behind an event becomes critical, requiring the development of capabilities to ju
Externí odkaz:
http://arxiv.org/abs/2403.09567
Autor:
González-Santamarta, Miguel Ángel, Rodríguez-Lera, Francisco Javier, Llamas, Camino Fernández, Rico, Francisco Martín, Olivera, Vicente Matellán
State machines are a common mechanism for defining behaviors in robots, defining them based on identifiable stages. There are several libraries available for easing the implementation of state machines in ROS 1, as SMACH or SMACC, but there are fewer
Externí odkaz:
http://arxiv.org/abs/2205.13284
Autor:
Rodríguez‐Lera, Francisco Javier1,2 (AUTHOR) fjrodl@unileon.es, González‐Santamarta, Miguel Ángel1 (AUTHOR), Guerrero‐Higueras, Ángel Manuel1 (AUTHOR), Martín‐Rico, Francisco2 (AUTHOR), Matellán‐Olivera, Vicente3 (AUTHOR)
Publikováno v:
Expert Systems. Nov2022, Vol. 39 Issue 9, p1-21. 21p.
Akademický článek
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Publikováno v:
BULERIA. Repositorio Institucional de la Universidad de León
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[ES] Desplegar robots sociales que realicen tareas en entornos reales conlleva desarrollar software complejo dada la cantidad de información involucrada en la toma de decisiones de un robot. Uno de los mecanismos habituales para gestionar y modelar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a7de582ebdaa03d3479e5c13fa653cbb
http://hdl.handle.net/10612/15242
http://hdl.handle.net/10612/15242
Autor:
Héctor Quintián, Emilio Corchado, Alicia Troncoso Lora, Hilde Pérez García, Esteban Jove, José Luis Calvo Rolle, Francisco Javier Martínez de Pisón, Pablo García Bringas, Francisco Martínez Álvarez, Álvaro Herrero Cosío, Paolo Fosci
This volume of Lecture Notes in Networks and Systems contains accepted papers presented at the 17th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2024) and the 15th International Conference on EUrop
This book contains accepted papers presented at CISIS 2020 held in the beautiful and historic city of Burgos (Spain), in September 2020.The aim of the CISIS 2020 conference is to offer a meeting opportunity for academic and industry-related researche