Design of a Multi Agent Architecture for Robot Soccer. A Case Study

A Multi Agent System (MAS) for the FIRA Mirosot League is presented. This MAS allows a general number of players and is used in the 5 against 5 and 7 against 7 competition. In the MAS there is coach agent and n (the number of robots in the team) player agents. There is a one to one correspondence between the player agents and the team robots on the field. The player agents use indirect communication, such as field positioning, and the coach in order to communicate with each other. The role of the coach is to assign roles to the different player agents and to grant resources, such as the ball, to the player agents. Keywords: robot soccer, agents, learning