Conflict management in an intelligent multiagent robotic system based on FSM approach

This paper presents a system-theoretical approach for an intelligent multiagent system which is used to control and coordinate a society of robotic agents acting independently in a partially known environment. We focus our presentation on only one aspect of the coordination of the robotic agent group, namely on the conflict management. We present solutions for detecting and resolving conflicts between two or more robotic agents.