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Cooperative pursuit with sensing limitations

机译:具有感知局限性的合作追求

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We address a discrete-time pursuit-evasion problem involving multiple pursuers and a single evader in an unbounded, planar environment in which each player has limited-range sensing. The evader appears at a random location in a bounded region and moves only when sensed. We propose a sweep-pursuit-capture strategy for a group of at least three pursuers and determine a lower bound on the probability of capture for the evader. This bound is a function of the pursuer formation and independent of the initial evader location and the evader strategy. We then propose a novel cooperative pursuit algorithm and show that the problem is reduced to one with unlimited sensing. We provide an upper bound on the time for our pursuit strategy to succeed. The final capture is achieved by using the established algorithm SPHERES. Our results show that on the basis of maximizing the probability of evader capture per pursuer, the pursuers should search the bounded region as a single group (conjoin) rather than to divide the region into smaller parts and search simultaneously in smaller groups (allocate).
机译:我们解决了离散追逐回避问题,该问题涉及在无限制的平面环境中多个追逐者和单个回避者,在这种环境中,每个玩家都具有有限的范围感测。躲避者出现在有界区域中的随机位置,并且仅在感测到时才移动。我们提出了针对至少三个追踪者的掠夺性追捕策略,并为逃避者确定了捕获概率的下限。该界限是追踪者形成的函数,并且与初始躲避者位置和躲避者策略无关。然后,我们提出了一种新颖的协作追踪算法,并证明了该问题被简化为无限感知的问题。我们为追求策略的成功提供了时间的上限。通过使用已建立的算法SPHERES实现最终捕获。我们的结果表明,在最大程度地提高每个追踪者捕获逃避者的可能性的基础上,追踪者应将有界区域作为单个组(联合)进行搜索,而不是将区域分成较小的部分并同时在较小的组中进行搜索(分配)。

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