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Performance based monitoring using statistical control charts on multi-robot teams

机译:使用多机器人团队的统计控制图进行基于性能的监视

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On typical multi-robot teams, there is an implicit assumption that robots can be trusted to effectively perform assigned tasks. However, reliable performance of team members may not always be a valid assumption. For instance, a robot's performance may deteriorate over time or a robot may not estimate tasks correctly. Traditional health monitoring techniques call attention to an operator or assume a binary classification of either success or failure. Robots that can identify poorly performing team members, as performance deteriorates, can adjust the task assignment process dynamically. This paper investigates the use of statistical process control charts from operations research as a tool for monitoring team member performance as part of a multi-robot task assignment framework.
机译:在典型的多机器人团队中,存在一个隐含的假设,即可以信任机器人以有效执行分配的任务。但是,团队成员的可靠表现可能并不总是一个正确的假设。例如,随着时间的流逝,机器人的性能可能会下降,或者机器人可能无法正确估算任务。传统的健康监视技术会引起操作员的注意,或者采用成功或失败的二进制分类。随着性能下降,可以识别表现不佳的团队成员的机器人可以动态地调整任务分配过程。本文研究了运筹学中使用的统计过程控制图,将其作为监视团队成员绩效的工具,并将其作为多机器人任务分配框架的一部分。

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