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Balancing multi-robot prioritized task allocation: A simulation approach

机译:平衡多机器人优先任务分配:一种模拟方法

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摘要

Multi robot task allocation is a fundamental problem in robotics. Mostly multi robot task allocation (MRTA) problems concentrate on the minimization of the total distance travelled by the robots (Robot centered). Due attention is required for task centered allocation (task priority). A lot of real life application such as robotic search and rescue missions, environmental or hazardous clean-up missions emphasizes the priority of task allocation and balancing the utilization of robots. This paper develops a simulation model involving task priority and the utilization of robots and refers to it as a Balance multi-robot prioritized task allocation (BMRPTA) problem. The performance of the model is evaluated based on the minimum average waiting time and the completion time objective which ensures there would be a reasonable path balancing between the robots. Analysis has been carried out to study the effect of task priority on robot utilization.
机译:多机器人任务分配是机器人技术中的一个基本问题。通常,多机器人任务分配(MRTA)问题集中在使机器人(以机器人为中心)行进的总距离最小上。以任务为中心的分配(任务优先级)需要引起足够的重视。机器人搜索和救援任务,环境或危险清理任务等许多现实生活中的应用都强调任务分配的优先级和平衡机器人的利用率。本文开发了一个涉及任务优先级和机器人利用率的仿真模型,并将其称为“平衡多机器人优先任务分配”(BMRPTA)问题。基于最小平均等待时间和完成时间目标评估模型的性能,以确保机器人之间存在合理的路径平衡。已经进行分析以研究任务优先级对机器人利用率的影响。

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