Intercept Algorithm for Predicting the Position of Passing the Ball on Robot Soccer ERSOW

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Title Intercept Algorithm for Predicting the Position of Passing the Ball on Robot Soccer ERSOW
Intercept Algorithm for Predicting the Position of Passing the Ball on Robot Soccer ERSOW
 
Creator Bachtiar, Mochamad Mobed
Hakim Ihsan, Fadl Lul
Wibowo, Iwan Kurnianto
Wibowo, Risky Eka
 
Subject Robot Soccer, ERSOW, Passing the Ball, Middle Size League
Robot Soccer, ERSOW, Passing the Ball, Middle Size League
 
Description 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%.
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%. 
 
Publisher Universitas Dr. Soetomo
 
Contributor

 
Date 2021-01-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier https://ejournal.unitomo.ac.id/index.php/inform/article/view/3353
10.25139/inform.v6i1.3353
 
Source Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi; Vol 6, No 1 (2021); 35-39
2581-0367
2502-3470
 
Language eng
 
Relation https://ejournal.unitomo.ac.id/index.php/inform/article/view/3353/pdf
https://ejournal.unitomo.ac.id/index.php/inform/article/downloadSuppFile/3353/757
https://ejournal.unitomo.ac.id/index.php/inform/article/downloadSuppFile/3353/758
https://ejournal.unitomo.ac.id/index.php/inform/article/downloadSuppFile/3353/779
 
Rights Copyright (c) 2021 Inform: Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi
http://creativecommons.org/licenses/by-sa/4.0
 

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