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A centralized approach for resolving physical interference between robots using nearest first swarm method

机译:使用最近的第一群方法解决机器人之间物理干扰的集中方法

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Task allocation, where tasks must be executed before deadline, is one of the major research area in multi-robot system. For efficient task allocation, physical interference between robots must be taken into account i.e. when two or more robots are assigned the same task at the same time. Nearest first swarm (NFS), one of the simplest Swarm robot task allocation strategy, is used to analyze the influence of interference in multi-robot system. This paper proposes a new approach for resolving interference in accordance with the assigned priority to robots in a multi-robot task allocation system(MRTA). Major factors that are considered for defining priority among the robots are remaining energy of the robot, task completed by individuals robot and distance to the object. A default priority is used to resolve interference when two or more homogeneous robots look for same the task. Results show that the proposed technique of interference resolution helps in improving system performance by 17 %. A foraging mission has been taken as a ground to verify the result of our method.
机译:任务分配(必须在截止日期之前执行任务)是多机器人系统中的主要研究领域之一。为了有效地分配任务,必须考虑机器人之间的物理干扰,即同时向两个或更多机器人分配相同任务时。最近的第一群(NFS)是最简单的Swarm机器人任务分配策略之一,用于分析干扰对多机器人系统的影响。针对多机器人任务分配系统(MRTA)中分配给机器人的优先级,本文提出了一种解决干扰的新方法。在定义机器人之间的优先级时考虑的主要因素是机器人的剩余能量,个体机器人完成的任务以及与物体的距离。当两个或多个同类机器人寻找相同任务时,将使用默认优先级来解决干扰。结果表明,所提出的干扰解决技术有助于将系统性能提高17%。以觅食任务为基础来验证我们方法的结果。

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