RSPSO algorithm for finding the best point for robot to score a goal
Author
Source
Journal of College of Education for Pure Sciences
Issue
Vol. 10, Issue 1 (31 Mar. 2020), pp.36-42, 7 p.
Publisher
University of Thi-Qar College of Education for Pure Sciences
Publication Date
2020-03-31
Country of Publication
Iraq
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
The issue of robotic football game is one of the most complex multi-agent systems.
In order to make the game more enjoyable and exciting by scoring goals, therefore it's important for a robot football agent to have a technique on how to score a goal.
This paper proposes RSPSO algorithm, where the particle swarm optimization algorithm (PSO) based on Q-learning is used to find the best point from the goal gate to shoot the ball toward it.
As we show in simulation, our method enables the robot to learn soccer skills to score a goal.
American Psychological Association (APA)
al-Mahdi, Assil Jabbar. 2020. RSPSO algorithm for finding the best point for robot to score a goal. Journal of College of Education for Pure Sciences،Vol. 10, no. 1, pp.36-42.
https://search.emarefa.net/detail/BIM-1383751
Modern Language Association (MLA)
al-Mahdi, Assil Jabbar. RSPSO algorithm for finding the best point for robot to score a goal. Journal of College of Education for Pure Sciences Vol. 10, no. 1 (Mar. 2020), pp.36-42.
https://search.emarefa.net/detail/BIM-1383751
American Medical Association (AMA)
al-Mahdi, Assil Jabbar. RSPSO algorithm for finding the best point for robot to score a goal. Journal of College of Education for Pure Sciences. 2020. Vol. 10, no. 1, pp.36-42.
https://search.emarefa.net/detail/BIM-1383751
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 41-42
Record ID
BIM-1383751