STOx’s 2017 Team description paper

dc.contributor.authorRodríguez, Saith
dc.contributor.authorRojas, Eyberth
dc.contributor.authorPérez, Katherin
dc.contributor.authorBáez, Heyson
dc.contributor.authorQuintero, Carlos
dc.contributor.authorPeña, Oswaldo
dc.contributor.authorCalderón, Juan Manuel
dc.contributor.authorReyes, Andrés
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dc.contributor.orcidhttps://orcid.org/0000-0002-8240-760X
dc.contributor.orcidhttps://orcid.org/0000-0003-2061-2701
dc.date.accessioned2020-04-13T14:50:45Z
dc.date.available2020-04-13T14:50:45Z
dc.date.issued2020-04-06
dc.descriptionEn este documento mostramos el estado actual del equipo de STOx después de su sexta participación en las competiciones mundiales de RoboCup. Inicialmente, mostramos una descripción de las últimas contribuciones realizadas por los equipos de la liga durante los últimos años, así como las propuestas realizadas por el equipo de STOx, especialmente en algoritmos de procesamiento de datos, seguimiento y predicción para facilitar la decisión de nivel superior haciendo procesos. También mostramos el rendimiento de nuestro algoritmo de predicción de chips en los juegos de RoboCup 2016. Finalmente, mostramos la estrategia defensiva implementada por nuestro equipo, específicamente, la asignación óptima de marcadores, que asigna de manera óptima los marcadores de defensa a los atacantes oponentes minimizando la distancia recorrida por el robot.spa
dc.description.abstractIn this paper we show the current state of the STOx’s team after its 6th participation in the RoboCup world competitions. Initially, we show a description of the latest contributions made by the teams in the league during the last years as well as the proposals made by the STOx’s team, especially in data processing, tracking and prediction algorithms in order to facilitate the higher-level decision making processes. We also show the performance of our chip predictor algorithm in the games of RoboCup 2016. Finally, we show the defensive strategy implemented by our team, specifically, the optimal markers assignment, which optimally assigns defender markers to opponent attackers minimizing therobot’s traveled distance.spa
dc.description.domainhttp://unidadinvestigacion.usta.edu.cospa
dc.format.mimetypeapplication/pdf
dc.identifier.citationSaith Rodrguez, Eyberth Rojas, Kathern Perez, Carlos Quintero, Oswaldo Peña, Andres Reyes & Juan Calderon. (2017). STOx's 2017 team description paper. Retrieved from https://repository.usta.edu.co/handle/11634/9639spa
dc.identifier.urihttp://hdl.handle.net/11634/22362
dc.publisher.branchCRAI-USTA Bogotáspa
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dc.relation.referencesS. Rodr´ıguez, E. Rojas, K. P´erez, J. L´opez, C. Quintero, and J.M. Calder´on. STOx’s 2014 Extended Team Description Paper. Joao Pessoa, Brazil 2014. Available for download in http://robocupssl.cpe.ku.ac.th/ media/robocup2014:etdp:stoxs 2014 etdp.pdfspa
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dc.relation.referencesR. Rojas, M. Simon and O. Tenchio. Parabolic Flight Reconstruction from Multiple Images from a Single Camera in General Position. In Chapter RoboCup 2006: Robot World Cup X. Vol 4434 of the series Lecture Notes in Computer Science pp 183–193, 2007spa
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/co/
dc.subject.keywordSTOx'sspa
dc.subject.keywordRoboCupspa
dc.subject.keywordAlgorithmspa
dc.subject.proposalSTOx'sspa
dc.subject.proposalRoboCupspa
dc.subject.proposalAlgoritmospa
dc.titleSTOx’s 2017 Team description paperspa
dc.type.categoryGeneración de Nuevo Conocimiento: Artículos publicados en revistas especializadas - Electrónicosspa

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