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

机译:使用最近的第一个群方法解决机器人之间的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,在截止日期之前必须执行任务,是多机器人系统的主要研究区域之一。为了有效的任务分配,必须考虑机器人之间的物理干扰,即,当两个或更多机器人同时分配相同的任务时。最近的第一个群(NFS)是最简单的群体机器人任务分配策略之一,用于分析干扰在多机器人系统中的影响。本文提出了一种新方法,可以根据多机器人任务分配系统(MRTA)中的分配优先级解决干扰。考虑在机器人之间定义优先级的主要因素是机器人的剩余能量,个人机器人完成的任务和到对象的距离。默认优先级用于在两个或更多个均匀机器人查找相同任务时解决干扰。结果表明,该干扰分辨率技术有助于提高系统性能17%。觅食使命已被视为验证我们方法结果的理由。

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