The architecture design of the multirobot team formation
Xingce Wang, Guochang Gu, Rubo Zhang, Meiping Song · 2005
The layered control architecture is designed for the need of the multirobot intelligent team formation. There are three levels: the cooperation task level, the coordination behavior level and the action planning level. The cooperation task level is using the potential grid method, which improves the safety of the path and reduces the calculation complexity. The coordination behavior level is using the reinforcement learning which strengthen the robots' intelligence. The action planning level is using the fuzzy planning methods to realize the action matching. The communication model transfer the message in different level. This architecture shows not only the independence and the intelligence of the single robot but also the cooperation and the coordination among the robots. In each level, the task is distributed reasonably and clearly. At last the feasibility of the architecture is verified further in the simulation of the experiment. The expansibility of the architecture is good and the architecture can be used in the similar system