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Exploración dinámica de fronteras en entornos desconocidos basada en la entropía

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Exploración dinámica de fronteras en entornos desconocidos basada en la entropía

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Godoy-Calvo, J.; Lin-Yang, D.; Vázquez-Martín, R.; García-Cerezo, A. (2023). Exploración dinámica de fronteras en entornos desconocidos basada en la entropía. Revista Iberoamericana de Automática e Informática industrial. 20(2):213-223. https://doi.org/10.4995/riai.2023.18740

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/192803

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Title: Exploración dinámica de fronteras en entornos desconocidos basada en la entropía
Secondary Title: Dynamic entropy-based method for exploring frontiers in unknown environments
Author: Godoy-Calvo, Jaime Lin-Yang, Dahui Vázquez-Martín, Ricardo García-Cerezo, Alfonso
Issued date:
Abstract:
[EN] Exploration in disaster areas provides valuable, high-fidelity information to rescue personnel in disaster situations, with the potential to reduce the time for search and recovery of victims. This paper presents an ...[+]


[ES] La exploración en entornos de catástrofes proporciona información valiosa de alta fidelidad al personal de los dispositivos de rescate ante situaciones de desastre, ofreciendo la posibilidad de reducir el tiempo de ...[+]
Subjects: Mobile robotics , Autonomous mobile robotics , Robot navigation , Entropy , Information theory , Robótica móvil , Robótica móvil autónoma , Navegación de robots , Entropía , Teoría de la información
Copyrigths: Reconocimiento - No comercial - Compartir igual (by-nc-sa)
Source:
Revista Iberoamericana de Automática e Informática industrial. (issn: 1697-7912 ) (eissn: 1697-7920 )
DOI: 10.4995/riai.2023.18740
Publisher:
Universitat Politècnica de València
Publisher version: https://doi.org/10.4995/riai.2023.18740
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093421-B-I00/ES/HACIA EQUIPOS RESILIENTES DE MANIPULADORES UGV Y UAV PARA TAREAS ROBOTICAS DE BUSQUEDA Y RESCATE/
info:eu-repo/grantAgreement/AEI//PID2021-122944OB-I00
Thanks:
Este trabajo ha sido parcialmente financiado por el Ministerio de Ciencia, Innovación y Universidades, Gobierno de España, proyecto RTI2018-093421-B-I00 y PID2021-122944OB-I00.
Type: Artículo

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