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Decentralized Motion Planning with Collision Avoidance for a Team of UAVs under High Level Goals

机译:高水平目标下无人飞行器团队的防碰撞分散运动计划

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摘要

This paper addresses the motion planning problemfor a team of aerial agents under high level goals. We propose a hybrid control strategy that guarantees the accomplishmentof each agent’s local goal specification, which is given as a temporal logic formula, while guaranteeing inter-agent collision avoidance. In particular, by defining 3-D spheres that bound the agents’ volume, we extend previous work on decentralized navigation functions and propose control laws that navigate the agents among predefined regions of interest of the workspace while avoiding collision with each other. This allows us to abstract the motion of the agents as finite transition systems and, by employing standard formal verification techniques,to derive a high-level control algorithm that satisfies the agents’ specifications. Simulation and experimental results with quadrotors verify the validity of the proposed method.
机译:本文针对高水平目标下的一个空中特工队解决运动计划问题。我们提出了一种混合控制策略,该策略可确保实现每个代理的本地目标规范(以时间逻辑公式形式给出),同时又可确保避免代理之间的冲突。特别是,通过定义限制代理人体积的3D球体,我们扩展了分散导航功能的先前工作,并提出了控制规律,可在工作空间的预定兴趣区域之间导航代理人,同时避免彼此冲突。这使我们可以将代理的运动抽象为有限过渡系统,并通过采用标准的形式验证技术来推导满足代理规范的高级控制算法。四旋翼的仿真和实验结果证明了该方法的有效性。

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