RSPSO algorithm for finding the best point for robot to score a goal

المؤلف

al-Mahdi, Assil Jabbar

المصدر

Journal of College of Education for Pure Sciences

العدد

المجلد 10، العدد 1 (31 مارس/آذار 2020)، ص ص. 36-42، 7ص.

الناشر

جامعة ذي قار كلية التربية للعلوم الصرفة

تاريخ النشر

2020-03-31

دولة النشر

العراق

عدد الصفحات

7

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 41-42

رقم السجل

BIM-1383751