Research On Intelligence Robot Swarm Behavior Based On Artificial Life

With the development of society, the fields that robots are applied in are extending. From automatic product line to the exploring of ocean source, even the space work, robots are used widely. Formerly, the studies on robots almost dwell on the environments that we are familiar with. That's to say, the staff have to possess the precise knowledge about the robot and their working circumstance. If we would design robots in this traditional way, the robots would definitely have such problems as following: It is hard for the robots to get new knowledge, to realize in material work and to control accurately.In this paper, we applied the theory of Artificial Life into the design of Intelligence Robots. On the base of summarizing the habits of certain creatures, we have drawn some conclusions that can be used in rules of robots behaviors. Following these rules, robots not only can complete the appointed missions by detecting and analyzing the circumstance repeatedly themselves, but also can imitate the mass behaviors of the creatures to accomplish a certain mass intelligent behavior.In this paper, we also put forward a four-level control structure, i.e. the apperceive level, the intention level, behavior level and action level. The function of the apperceive level is to detect the circumstance and the position of the robots, and transmit the information to the later intention level. The use of intention level is to judge whether the circumstance is danger and to make the action decision through the coming useful information. The purpose of behavior level is to execute the corresponding behaviors according to the judgments for the circumstance made by intention level. The function of action level is tomake robots to adopt the proper actions according to the decision of behavior level and complex situation.In the end, the simulation results are provided to show the validity of the algorithm.