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Escaping Capture by Multiple, Intelligent, Well-informed, Cooperative Pursuers Amidst Stationary Clutter

机译:在固定杂乱中,通过多重,智能,知情,知情,合作追求捕获

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In this paper a new potential field approach is suggested for the evasive navigation of an agent that is engaging multiple pursuers in a stationary environment. Here, the gradient of a potential field that is generated by solving the Poisson equation subject to a set of mixed boundary conditions is used to generate a sequence of directions to guide the motion of an evader so that it will escape a group of pursuers while avoiding a set of forbidden regions (clutter). The focus here is on continuous evasion where the agent does not have the benefit of a target zone (e.g., a shelter) which up on reaching it can discontinue engaging the pursuers. The capabilities of the approach are demonstrated using simulation experiments.
机译:本文提出了一种新的潜在场方法,以便在静止环境中引起多个追求的代理的逃避导航。这里,通过求解经受一组混合边界条件的泊松等式产生的潜在场的梯度用于产生一系列方向以引导避难者的运动,使得它将在避免时逃避一组追捕者一套禁区(杂乱)。这里的重点是连续逃避,其中代理人没有瞄准区(例如,庇护所)的益处,这些区域可以达到它可以停止与追捕者停止。使用模拟实验证明了该方法的能力。

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