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首页> 外文期刊>International Journal of Advanced Robotic Systems >Toward target search approach of swarm robotics in limited communication environment based on robot chains with elimination mechanism
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Toward target search approach of swarm robotics in limited communication environment based on robot chains with elimination mechanism

机译:基于机器人连锁机构的有限通信环境中群体机器人的目标搜索方法

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Swarm robotics refers to artificial swarm systems composed of a large number of autonomous mobile robots with relatively simple structures and functions. One of the basic problems of swarm robotics involves the target search process, which entails a cooperative search using limited perception and local interaction of robots under a self-organizing mechanism. When communication is limited, the connectivity of swarm robotics may decrease, leading to the failure of the target search task. This article describes a new target search method based on the robot chain model and the elimination mechanism. The proposed method allows the target search task to be completed efficiently and reliably while maintaining the connectivity of the robots. Experimental results show that the proposed algorithm offers better performance than conventional techniques in terms of search speed and success rate, and provides an effective method for solving the target search problem using swarm robotics in limited-communication environments.
机译:群体机器人是指由具有相对简单的结构和功能的大量自主移动机器人组成的人工群系统。群体机器人的基本问题之一涉及目标搜索过程,其需要在自组织机制下使用机器人的有限感知和局部相互作用的协同搜索。当通信有限时,群体机器人的连接可能会降低,导致目标搜索任务的失败。本文介绍了一种基于机器人链模型和消除机制的新目标搜索方法。所提出的方法允许目标搜索任务在保持机器人的连接时有效可靠地完成。实验结果表明,该算法在搜索速度和成功率方面提供比传统技术更好的性能,并提供了在有限通信环境中使用群体机器人解决目标搜索问题的有效方法。

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