dc.creator | Jimenez-Builes, Jovani Alberto | |
dc.creator | Serrate-Hincapie, Alejandro | |
dc.creator | Zapata-Jaramillo, Carlos Mario | |
dc.creator | Espinosa-Bedoya, Albeiro | |
dc.creator | Acosta-Amaya , Gustavo Alonso | |
dc.date.accessioned | 2022-06-01 00:00:00 | |
dc.date.accessioned | 2022-06-17T20:21:42Z | |
dc.date.accessioned | 2022-09-29T14:49:41Z | |
dc.date.available | 2022-06-01 00:00:00 | |
dc.date.available | 2022-06-17T20:21:42Z | |
dc.date.available | 2022-09-29T14:49:41Z | |
dc.date.created | 2022-06-01 00:00:00 | |
dc.date.created | 2022-06-17T20:21:42Z | |
dc.date.issued | 2022-06-01 | |
dc.identifier | 1794-1237 | |
dc.identifier | https://repository.eia.edu.co/handle/11190/5191 | |
dc.identifier | 10.24050/reia.v19i38.1598 | |
dc.identifier | 2463-0950 | |
dc.identifier | https://doi.org/10.24050/reia.v19i38.1598 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3777039 | |
dc.description.abstract | Las aplicaciones de robótica móvil actuales en el marco de la industria 4.0 requieren emplear una red de robots para garantizar la comunicación entre diferentes agentes robóticos. Según algunos autores, se plantean retos a nivel de red de robots dado que se presentan retrasos en la transmisión de datos debido al gran flujo de información y a los ruidos que se pueden presentar. Por tanto, existen diferentes métricas de rendimiento que permitan evaluar el desempeño de los robots y de la red de robots, pero a la hora de realizar la evaluación de una red de robots no se tiene claro cuál de las diferentes métricas emplear. En este artículo se propone una evaluación de métricas de rendimiento a partir de una selección de características, con el fin de apoyar la toma de decisiones que permitan seleccionar las métricas más adecuadas según la aplicación. Se espera que con esta solución los investigadores puedan seleccionar las métricas que requieren para la evaluación de redes de robots en el marco de la industria 4.0. | |
dc.description.abstract | Current mobile robotics applications within the framework of Industry 4.0 require the use of a network of robots to ensure communication between different robotic agents. According to some authors, there are challenges at the robot network level given that there are delays in data transmission due to the large flow of information and the noise that can occur. Therefore, there are different performance metrics that allow evaluating the performance of robots and the robot network, but when evaluating a robot network it is not clear which of the different metrics to use. This article proposes an evaluation of performance metrics based on a selection of characteristics, in order to support decision-making that allows selecting the most appropriate metrics according to the application. It is expected that with this solution, researchers will be able to select the metrics they require for the evaluation of robot networks in the framework of Industry 4.0. | |
dc.language | spa | |
dc.publisher | Fondo Editorial EIA - Universidad EIA | |
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dc.relation | Zimmerman, T. (2019). Metrics and key performance indicators for robotic cybersecurity performance analisys (Vol. 1). (U. D. Commerce, Ed.) new york: National Institute of Standards and technology. DOI: 10.6028/NIST.IR.8177 | |
dc.relation | Zavlanos, M., Ribeiro, A., & Pappas, G. (2010). Mobility & Routing Control in Networks of Robots. 49th IEEE Conference on Decision and Control, (págs. 7545-7550). Hilton Atlanta Hotel, Atlanta, GA, USA. DOI: 10.1109/CDC.2010.5717013. | |
dc.relation | Zhang, F., Chen, W., & Xi, Y. (2006). Motion Synchronization in Mobile Robot Networks: Robustness. IEEE/RSJ International Conference on Intelligent Robots and Systems. Beijing, China: IEEE. DOI: 10.1109/IROS.2006.282274 | |
dc.relation | https://revistas.eia.edu.co/index.php/reveia/article/download/1598/1487 | |
dc.relation | Núm. 38 , Año 2022 : . | |
dc.relation | 10 | |
dc.relation | 38 | |
dc.relation | 3834 pp. 1 | |
dc.relation | 19 | |
dc.relation | Revista EIA | |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights | Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0. | |
dc.rights | http://purl.org/coar/access_right/c_abf2 | |
dc.rights | Revista EIA - 2022 | |
dc.source | https://revistas.eia.edu.co/index.php/reveia/article/view/1598 | |
dc.subject | Robot Network | |
dc.subject | Performance Metrics | |
dc.subject | Industry 4.0 | |
dc.subject | Cloud Robotics | |
dc.subject | Red de robots | |
dc.subject | Métricas de rendimiento | |
dc.subject | Industria 4.0 | |
dc.subject | Robótica en la nube | |
dc.title | Evaluación de métricas para el rendimiento de redes inalámbricas de robots móviles en el marco de la Industria 4.0 | |
dc.type | Artículo de revista | |
dc.type | Journal article | |