RSPSO Algorithm for Finding the Best Point for Robot to Score a Goal

Authors

  • Asseel Jabbar Almahdi University of Thi-Qar, Computer Science and Mathematics Collage, Computer Science Department

DOI:

https://doi.org/10.32792/jeps.v10i1.29

Keywords:

Reinforcement learning, Particle swarm optimization (PSO), robot soccer, Q-learning

Abstract

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.

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Published

2020-12-01

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