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引用次数: 43

摘要

在许多安全、监视和侦察任务的自动化中出现的一个重要问题是监视目标在有限的兴趣区域内导航的运动。在本文中,我们研究了使用一个基于自主传感器的机器人合作团队来观察多个运动目标。我们主要专注于开发分布式控制策略,使机器人团队能够尽量减少目标在感兴趣的区域内逃脱某些穿着长袍的团队成员观察的总时间。本文首先形式化了这一问题,并对相关工作进行了讨论。然后,我们提出了一种分布式近似方法来解决这个问题,该方法结合了低级多机器人控制和基于ALLIANCE形式的高级推理控制。通过与其他三种可行的协同控制算法进行比较,我们分析了我们的方法的有效性,显示了我们的方法在大问题类中的优越性。
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Cooperative motion control for multi-target observation
An important issue that arises in the automation of many security, surveillance, and reconnaissance tasks is that of monitoring the movements of targets navigating in a bounded area of interest. In this paper, we investigate the use of a cooperative team of autonomous sensor-based robots for the observation of multiple moving targets. We focus primarily on developing the distributed control strategies that allow the robot team to attempt to minimize the total time in which targets escape observation by some robed team member in the area of interest. This paper first formalizes the problem and discusses related work. We then present a distributed approximate approach to solving this problem that combines low-level multi-robot control with higher-level reasoning control based on the ALLIANCE formalism. We analyze the effectiveness of our approach by comparing it to three other feasible algorithms for cooperative control, showing the superiority of our approach for a large class of problems.
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