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An Approach to Multi-robot Site Exploration Based on Principles of Self-organisation

机译:基于自组织原则的多机器人现场探索方法

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This paper presents a novel approach to multi-robot site exploration and map building considering the robot team as a self-organising system. The approach has been developed within the framework of the project GUARDIANS. The Map Building process represents not a separate activity, but an inherent byproduct of self-organisation. The system consists of an (heterogeneous) robot swarm, a mobile ad-hoc network and an (evolving) topological map of the environment. The proposed map building approach takes advantage of a cooperating robot team (as opposed to a single robot) allowing accurate deployment and localisation in a structured, yet dynamic manner. A topological graph representation of the environment is formed, from which an initial metric representation is elic-itable as edges are assigned lengths. This reasonable sketch of the environment can be further developed to a full metric map and be used as the basis of building ad-hoc mobile wireless communication and sensor networks. The presented algorithms also take into consideration sensor limitation and are tested on a group of Khepera III robots, specially upgraded to fulfil the needs of our approach.
机译:本文介绍了一种新的多机器人现场探索和地图建筑的方法,将机器人团队作为自组织系统。该方法已在项目监护人的框架内开发。地图构建过程代表不是一个单独的活动,而是自组织的固有副产品。该系统由(异构)机器人群,移动ad-hoc网络和环境的(不断发展)的拓扑图组成。所提出的地图建筑方法利用合作机器人团队(与单个机器人相反),允许以结构化但动态的方式精确地部署和本地化。形成环境的拓扑图形表示,从中,初始度量表示是可引起的,因为边缘被分配长度。该环境的这种合理草图可以进一步开发到完整的公制地图,并用作构建Ad-hoc移动无线通信和传感器网络的基础。呈现的算法还考虑了传感器限制,并在一组Khepera III机器人上进行了测试,特别升级以满足我们的方法的需求。

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