机器人足球ERSOW传球位置预测的截距算法

M. Bachtiar, Fadl Lui Hakim Ihsan, Iwan Kurnianto Wibowo, R. Wibowo
{"title":"机器人足球ERSOW传球位置预测的截距算法","authors":"M. Bachtiar, Fadl Lui Hakim Ihsan, Iwan Kurnianto Wibowo, R. Wibowo","doi":"10.25139/INFORM.V6I1.3353","DOIUrl":null,"url":null,"abstract":"ERSOW is the name of a wheeled soccer robot that competes in the Kontes Robot Sepak Bola Indonesia (KRSBI). The soccer robot plays a soccer game based on the rules adapted from the human soccer game. The ERSOW team was formed in 2016. Starting in 2017, ERSOW participated in the KRSBI with the Middle Size League (MSL) type. Research in the field of wheeled soccer robots is mostly carried out on robot intelligence, such as how robots detect and look for balls, dribble, pass the ball, avoid opponents, and communicate in teams. This research focuses on the ability that the robot can pass the ball in KRSBI 2020. There are adjustments to the rules for its implementation online where the robot has to pass the ball and score as many goals as possible. The robot's ability to know the direction of ball movement and cut the ball movement or intercept is needed. By utilizing data processing from vision to obtain ball speed data and speed algorithm calculations, the passing ball method has a small chance of missing. Based on the results of experiments that have been carried out, the success of ERSOW in passing using this method is 94.7%. ","PeriodicalId":52760,"journal":{"name":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","volume":"18 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Intercept Algorithm for Predicting the Position of Passing the Ball on Robot Soccer ERSOW\",\"authors\":\"M. Bachtiar, Fadl Lui Hakim Ihsan, Iwan Kurnianto Wibowo, R. Wibowo\",\"doi\":\"10.25139/INFORM.V6I1.3353\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ERSOW is the name of a wheeled soccer robot that competes in the Kontes Robot Sepak Bola Indonesia (KRSBI). The soccer robot plays a soccer game based on the rules adapted from the human soccer game. The ERSOW team was formed in 2016. Starting in 2017, ERSOW participated in the KRSBI with the Middle Size League (MSL) type. Research in the field of wheeled soccer robots is mostly carried out on robot intelligence, such as how robots detect and look for balls, dribble, pass the ball, avoid opponents, and communicate in teams. This research focuses on the ability that the robot can pass the ball in KRSBI 2020. There are adjustments to the rules for its implementation online where the robot has to pass the ball and score as many goals as possible. The robot's ability to know the direction of ball movement and cut the ball movement or intercept is needed. By utilizing data processing from vision to obtain ball speed data and speed algorithm calculations, the passing ball method has a small chance of missing. Based on the results of experiments that have been carried out, the success of ERSOW in passing using this method is 94.7%. \",\"PeriodicalId\":52760,\"journal\":{\"name\":\"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi\",\"volume\":\"18 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25139/INFORM.V6I1.3353\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25139/INFORM.V6I1.3353","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

ERSOW是一个轮式足球机器人的名字,它参加了印尼孔特斯机器人赛(KRSBI)。足球机器人根据人类足球比赛的规则进行足球比赛。ERSOW团队成立于2016年。从2017年开始,ERSOW以中型联赛(MSL)类型参加KRSBI。轮式足球机器人领域的研究主要集中在机器人智能方面,如机器人如何检测和寻找球、运球、传球、躲避对手、团队沟通等。本次研究的重点是KRSBI 2020中机器人的传球能力。比赛规则在网上进行了调整,机器人必须传球并尽可能多地进球。机器人需要知道球的运动方向和切断球的运动或拦截的能力。利用视觉上的数据处理来获取球速度数据并进行速度算法计算,使得传球方法有很小的遗漏机会。根据已开展的实验结果,采用该方法的ERSOW通过成功率为94.7%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intercept Algorithm for Predicting the Position of Passing the Ball on Robot Soccer ERSOW
ERSOW is the name of a wheeled soccer robot that competes in the Kontes Robot Sepak Bola Indonesia (KRSBI). The soccer robot plays a soccer game based on the rules adapted from the human soccer game. The ERSOW team was formed in 2016. Starting in 2017, ERSOW participated in the KRSBI with the Middle Size League (MSL) type. Research in the field of wheeled soccer robots is mostly carried out on robot intelligence, such as how robots detect and look for balls, dribble, pass the ball, avoid opponents, and communicate in teams. This research focuses on the ability that the robot can pass the ball in KRSBI 2020. There are adjustments to the rules for its implementation online where the robot has to pass the ball and score as many goals as possible. The robot's ability to know the direction of ball movement and cut the ball movement or intercept is needed. By utilizing data processing from vision to obtain ball speed data and speed algorithm calculations, the passing ball method has a small chance of missing. Based on the results of experiments that have been carried out, the success of ERSOW in passing using this method is 94.7%. 
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
31
审稿时长
10 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信