Decision system for robosoccer agent based on OODA Loop

Abstract

This paper describes the decision making process of a robot soccer agent based on the OODA Loop. In this game, an agent that is considered as a player in the field has to decide actions to perform based on its environment. The agent is able to observe the change in the environment using its sensors. Based on this sensory information, a decision for actions has to be done fast and yet accurate. Therefore, the OODA loop method is applied in the decision system to achieve a better architecture of reasoning. The method provide the robosoccer agent abilities to sense the environment, to think, and finally to act.