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Development of decentralized based reactive control strategy for intelligent multi-agent mobile robotics system

机译:智能多主体移动机器人系统基于分散的无功控制策略开发

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摘要

Multi-agent system is one of the most popular research interests in robotics nowadays. How would collections of simple robots aid us in human endeavours? Let us think about an ant colony. Ants have little capability, but when many of them are working together, they can do incredible tasks. By examining the major control architectures available in robotics area, decentralized-based reactive control architecture gives the tools as required. Priority-based scheme is used in arbitration level to select which behaviour to run. It does not need to gather all information from various sensors to plan its action like deliberative control which is also known as sensors fusion that clearly required a lot of computational time. Besides that, the mapping that the deliberative control architecture produces might not be valid at the time when changes occur between the time it gathers the information and the time it plans its actions. Instead, intelligence will arise when these simple agents work together to perform some complex task cooperatively. Our multi-agent system consists of three mobile robots that are required to transfer a large object through a restricted area. We are using a leader - follower strategy to accomplish this task. Intelligence in multi-agent system in our context is that any agents have a possibility to be a leader or a follower depending on current situation of the environment. This means that all agents are homogeneously equal in hardware and software. By having this capability, it will ensure the burden of the programming task will be decreased because there will be only one program needed for the whole system. In this paper, decentralized reactive control architecture is used to develop an intelligent multi-agent cooperative strategy to perform complex task like carrying load and navigation.
机译:多代理系统是当今机器人技术中最受欢迎的研究兴趣之一。简单机器人的收集将如何帮助我们开展人类活动?让我们考虑一个蚁群。蚂蚁几乎没有能力,但是当许多蚂蚁一起工作时,它们可以完成难以置信的任务。通过检查机器人技术领域中可用的主要控制架构,基于分散的反应式控制架构可提供所需的工具。在仲裁级别使用基于优先级的方案来选择要运行的行为。它不需要从各种传感器收集所有信息来计划其动作,例如协商控制(也称为传感器融合),这显然需要大量的计算时间。除此之外,在收集信息的时间与计划操作的时间之间发生更改时,协商控制体系结构生成的映射可能无效。相反,当这些简单的代理协同工作以共同执行某些复杂的任务时,就会产生智能。我们的多主体系统由三个移动机器人组成,这三个机器人需要通过限制区域转移大型物体。我们正在使用领导者-跟随者策略来完成此任务。在我们的上下文中,多主体系统中的情报是,根据环境的当前情况,任何主体都有可能成为领导者或跟随者。这意味着所有代理在硬件和软件上均相等。通过具有此功能,将确保减轻编程任务的负担,因为整个系统仅需要一个程序。在本文中,分散式无功控制体系结构被用于开发一种智能的多智能体协作策略,以执行诸如负载和导航之类的复杂任务。

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