Adaptive selection of reactive/deliberate planning for a dynamic environment

This paper proposes and evaluates a new real-time reactive planning approach for a dynamic environment. In addition to having the features of conventional real-time reactive planning, which can react in a dynamic environment, our planning can perform deliberate planning appropriately. The proposed planning uses three kinds of agents: behavior agents that control simple behavior, planning agents that make plans to achieve their own goals, and behavior-selection agents that intermediate between behavior agents and planning agents. They coordinate a plan in an emergent way for the planning system as a whole. We confirmed the effectiveness of our planning by means of a simulation. Furthermore, we implemented an active-vision system and used it to verify the real-world efficiency of our planning.