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Concurrent Goal Assignment and Collision-Free Trajectory Generation for Multiple Aerial Robots

机译:多个空中机器人的并发目标分配和无碰撞轨迹生成

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We develop computationally tractable methods for concurrent goal assignment and planning of collision-free trajectories for multiple aerial robot systems. Our method first assigns robots to goals to minimize total time-in-motion, assuming straight-line maximum-speed trajectories. By coupling the assignment and trajectory generation, the initial motion plans tend to require only limited collision resolution. We then refine the plans by checking for potential collisions and resolving them using either start time delays or altitude assignment. Numerical experiments using both methods show significant reductions in the total time required for agents to arrive at goals with only modest additional computational effort in comparison to state-of-the-art prior work.
机译:我们开发用于多个空中机器人系统的并发目标分配和规划的并发目标分配和规划。 我们的方法首先将机器人分配给目标,以最小化总运动时间,假设直线最大速度轨迹。 通过耦合作业和轨迹生成,初始运动计划倾向于仅需要有限的碰撞分辨率。 然后,我们通过检查潜在的冲突并使用开始时间延迟或高度分配来解决它们来解决计划。 使用这两种方法的数值实验显示出代理所需的总时间略微减少,以便与最先进的事先工作相比,只有适度的额外计算努力到达目标。

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