Evaluación de métricas para el rendimiento de redes inalámbricas de robots móviles en el marco de la Industria 4.0.
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| Title: | Evaluación de métricas para el rendimiento de redes inalámbricas de robots móviles en el marco de la Industria 4.0. |
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| Alternate Title: | Evaluation of metrics for the performance of wireless networks of mobile robots in the framework of Industry 4.0. |
| Authors: | SERRATE-HINCAPIE, ALEJANDRO1, MARIO ZAPATA-JARAMILLO, CARLOS2, ESPINOSA-BEDOYA, ALBEIRO2, ALONSO ACOSTA-AMAYA, GUSTAVO3, ALBERTO JIMÉNEZ-BUILES, JOVANI2 jajimen1@unal.edu.co |
| Source: | Revista EIA. jun2022, Vol. 19 Issue 38, p1-10. 10p. |
| Subjects: | Industry 4.0, Key performance indicators (Management), Mobile apps, Data transmission systems, Research personnel, Robots, Robotics, Mobile robots, Surgical robots, Mobile learning |
| Abstract (English): | 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. [ABSTRACT FROM AUTHOR] |
| Abstract (Spanish): | 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. [ABSTRACT FROM AUTHOR] |
| Copyright of Revista EIA is the property of Escuela de Ingenieria de Antioquia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 158190691 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Evaluación de métricas para el rendimiento de redes inalámbricas de robots móviles en el marco de la Industria 4.0. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: Evaluation of metrics for the performance of wireless networks of mobile robots in the framework of Industry 4.0. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22SERRATE-HINCAPIE%2C+ALEJANDRO%22">SERRATE-HINCAPIE, ALEJANDRO</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22MARIO+ZAPATA-JARAMILLO%2C+CARLOS%22">MARIO ZAPATA-JARAMILLO, CARLOS</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22ESPINOSA-BEDOYA%2C+ALBEIRO%22">ESPINOSA-BEDOYA, ALBEIRO</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22ALONSO+ACOSTA-AMAYA%2C+GUSTAVO%22">ALONSO ACOSTA-AMAYA, GUSTAVO</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22ALBERTO+JIMÉNEZ-BUILES%2C+JOVANI%22">ALBERTO JIMÉNEZ-BUILES, JOVANI</searchLink><relatesTo>2</relatesTo><i> jajimen1@unal.edu.co</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Revista+EIA%22">Revista EIA</searchLink>. jun2022, Vol. 19 Issue 38, p1-10. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Industry+4%2E0%22">Industry 4.0</searchLink><br /><searchLink fieldCode="DE" term="%22Key+performance+indicators+%28Management%29%22">Key performance indicators (Management)</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+apps%22">Mobile apps</searchLink><br /><searchLink fieldCode="DE" term="%22Data+transmission+systems%22">Data transmission systems</searchLink><br /><searchLink fieldCode="DE" term="%22Research+personnel%22">Research personnel</searchLink><br /><searchLink fieldCode="DE" term="%22Robots%22">Robots</searchLink><br /><searchLink fieldCode="DE" term="%22Robotics%22">Robotics</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+robots%22">Mobile robots</searchLink><br /><searchLink fieldCode="DE" term="%22Surgical+robots%22">Surgical robots</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+learning%22">Mobile learning</searchLink> – Name: Abstract Label: Abstract (English) Group: Ab Data: 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. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Abstract (Spanish) Group: Ab Data: 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Revista EIA is the property of Escuela de Ingenieria de Antioquia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.24050/reia.v19i38.1598 Languages: – Code: spa Text: Spanish PhysicalDescription: Pagination: PageCount: 10 StartPage: 1 Subjects: – SubjectFull: Industry 4.0 Type: general – SubjectFull: Key performance indicators (Management) Type: general – SubjectFull: Mobile apps Type: general – SubjectFull: Data transmission systems Type: general – SubjectFull: Research personnel Type: general – SubjectFull: Robots Type: general – SubjectFull: Robotics Type: general – SubjectFull: Mobile robots Type: general – SubjectFull: Surgical robots Type: general – SubjectFull: Mobile learning Type: general Titles: – TitleFull: Evaluación de métricas para el rendimiento de redes inalámbricas de robots móviles en el marco de la Industria 4.0. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: SERRATE-HINCAPIE, ALEJANDRO – PersonEntity: Name: NameFull: MARIO ZAPATA-JARAMILLO, CARLOS – PersonEntity: Name: NameFull: ESPINOSA-BEDOYA, ALBEIRO – PersonEntity: Name: NameFull: ALONSO ACOSTA-AMAYA, GUSTAVO – PersonEntity: Name: NameFull: ALBERTO JIMÉNEZ-BUILES, JOVANI IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: jun2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 17941237 Numbering: – Type: volume Value: 19 – Type: issue Value: 38 Titles: – TitleFull: Revista EIA Type: main |
| ResultId | 1 |
