Multi-agent control framework for multi-wheeled mobile platforms

Abstract

This paper presents control framework based on multi-agent reinforcement approach for building intellectual steering software for multi-wheeled mobile robots. The framework uses modified reinforcement learning approach based on special multi-agent structure with virtual leader. The framework application example will be shown with real multi-wheeled mobile platform. The experiments were performed in simulation environment with accurate virtual model.