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Distributed formation control for swarm robots using mobile agents

机译:使用移动代理的群体机器人的分布式编队控制

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This paper presents a decentralized control algorithm for composing a specific formation of swarm robots. The swarm robots are expected to compose formations that represent symbols. The robots are connected by communication networks and not necessary intelligent; they initially do not have any control program to compose symbols. Control programs that implement our algorithm are introduced later from outside as mobile software agents, which are able to migrate from one robot to another robot connected by the network. Our controlling algorithm is based on the indirect pheromone communication of social insects such as ants. We have implemented the ant and the pheromone as mobile software agents. Ant agents control the robots. Each ant agent has partial information about the formation they are supposed to compose. The partial information consists of relative locations with neighbor robots that are cooperatively composing the target formation. Once the ant agent detects an idle robot, it occupies that robot and generates the pheromone agent to attract other ant agents to the location for neighbor robots. Then the pheromone agent repeatedly migrates to other robots to diffuse attracting information. Once the pheromone agent reaches the robot with an ant agent, the ant agent migrates to the robot closest to the location pointed by the pheromone agent, and then, drives the robot to the location. We have implemented a simulator based on our algorithm, and conducted experiments to demonstrate the feasibility of our approach.
机译:本文提出了一种分散控制算法,用于组成群体机器人的特定形式。群体机器人有望组成代表符号的编队。机器人通过通讯网络连接,并且不一定是智能的。它们最初没有任何控制程序来组成符号。稍后,我们将作为移动软件代理从外部引入实现我们算法的控制程序,该移动软件代理能够从一个机器人迁移到通过网络连接的另一个机器人。我们的控制算法基于蚂蚁等社交昆虫的间接信息素通信。我们已经将ant和信息素实现为移动软件代理。蚂蚁代理控制机器人。每个蚂蚁代理都有关于它们应该组成的部分信息。部分信息由与邻居机器人的相对位置组成,这些机器人协作组成目标编队。蚂蚁代理检测到空闲的机器人后,它将占据该机器人并生成信息素代理,以将其他蚂蚁代理吸引到相邻机器人的位置。然后,信息素代理反复迁移到其他机器人以散布吸引信息。一旦信息素代理程序与蚂蚁代理程序一起到达机器人,蚂蚁代理程序就会迁移到最接近信息素代理程序所指位置的机器人,然后将机器人驱动到该位置。我们已经基于算法实现了模拟器,并进行了实验以证明我们方法的可行性。

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