Position prediction algorithm design for FIRA Simulation of 5VS5 Robot

Abstract

Robot football simulation match is a kind of simulated football game with software. For the fira5vs5 robot simulation football project, many scholars have proposed the optimization of the team’s strategy on this project. On the basis of the dynamic role assignment of players in the game, this paper analyzes the principle of the least square method and the application process of the least square method, gives the algorithm design and obtains the final result. Platform verification and game results show that this strategy can greatly improve the goal rate of shooting players and achieve better shooting effect.