Record Details

Ball Direction Prediction for Wheeled Soccer Robot Goalkeeper Using Trigonometry Technique

Applied Technology and Computing Science Journal

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Field Value
 
Title Ball Direction Prediction for Wheeled Soccer Robot Goalkeeper Using Trigonometry Technique
 
Creator Bagus Setiawan, Danis
Khumaidi, Agus
Priyonggo, Projek
Basuki Rahmat, Mohammad
Sutrisno, Imam
Nasikhin, Khoirun
Wisnu Sahputera, Adi
 
Subject trigonometric technique
prediction
direction
ball
wheeled soccer robot goalkeeper
 
Description In this research Trigonometry Technique was implemented to predict the ball movement direction for Wheeled Soccer Robot Goalkeeper. The performance of goalkeeper robot in Wheeled Soccer Robot Contest is very important. The crucial problem with goalkeeper robot is the delay in ball detection by the camera because the results of the camera images captured are always slower than the pictures that have been captured. This causes the robot's response to blocking the opponent's kick ball being late. Trigonometry Technique is one technique that can be used to predict the direction of the ball movement based on trigonometry mathematical formulas. The input data used is the location of the last ball position (x–last ball and y-last ball) and the location of the current ball position (x-current ball and y-current ball). The outputs are the prediction of the next ball location (x-predict ball and y-predict ball) and the prediction of ball movement direction prediction. The results are the goalkeeper's robot successfully predicts the opponent's kick direction with 90% accuracy and can predict the location of the next ball very well. By implementing this method, it is expected to optimize the performance of the goalkeeper robot in saving the goal.
 
Publisher Unusa Press
 
Date 2019-09-07
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier https://journal2.unusa.ac.id/index.php/ATCSJ/article/view/1204
10.33086/atcsj.v2i1.1204
 
Source Applied Technology and Computing Science Journal; Vol. 2 No. 1 (2019): June; 39-51
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER; Vol 2 No 1 (2019): June; 39-51
2621-4474
2621-4458
10.33086/atcsj.v2i1
 
Language eng
 
Relation https://journal2.unusa.ac.id/index.php/ATCSJ/article/view/1204/911