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Multi-robot path-planning based on implicit cooperation in a robotic swarm

机译:机器人群体中基于隐式协作的多机器人路径规划

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Material handling in manufacturing environments is often proposed as an application of multi-agent robotic systems. In this paper we argue that reactive agents can perform the conveying task very efficiently as long as they are able to coordinate their displacements and to cooperate in such as way as to optimize their paths. A distributed implementation-oriented architecture is proposed which is based on beacon-identified loading points. The implicit cooperation/ coordination scheme relies on beacon impersonation by the agents, leading to complex group behavior in the robotic swarm. Thanks to this simple scheme, agents are able to perform multi-robot distributed path-planning. We present both the theoretical basis of our architecture and simulation results showing that implicit coordination leads to emergent group behaviros such as stable agent formations and implicit obstacle avoidance. Thus it ensures high performance levels for the conveying system.
机译:制造环境中的物料搬运通常被建议作为多主体机器人系统的一种应用。在本文中,我们认为,只要反应物能够协调其位移并以优化其路径的方式进行协作,它们就可以非常有效地执行输送任务。提出了一种基于信标识别的加载点的面向实现的分布式体系结构。隐式合作/协调方案依赖于代理人的信标模仿,从而导致机器人群体中的复杂群体行为。由于这种简单的方案,代理能够执行多机器人分布式路径规划。我们介绍了我们的体系结构和仿真结果的理论基础,结果表明隐式协调会导致出现突发的组行为,例如稳定的代理形成和隐式的避障。因此,它确保了输送系统的高性能水平。

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