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Multi-Vehicle Path Planning in Dynamically Changing Environments

机译:在动态变化环境中的多辆路径规划

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In this paper, we propose a path planning method for nonholonomic multi-vehicle system in presence of moving obstacles. The objective is to find multiple fixed length paths for multiple vehicles with the following properties: (i) bounded curvature (ii) obstacle avoidant (iii) collision free. Our approach is based on polygonal approximation of a continuous curve. Using this idea, we formulate an arbitrarily fine relaxation of the path planning problem as a nonconvex feasibility optimization problem. Then, we propound a nonsmooth dynamical systems approach to find feasible solutions of this optimization problem. It is shown that the trajectories of the nonsmooth dynamical system always converge to some equilibria that correspond to the set of feasible solutions of the relaxed problem. The proposed framework can handle more complex mission scenarios for multi-vehicle systems such as rendezvous and area coverage.
机译:在本文中,我们提出了一种在存在障碍物存在下的非完整多车辆系统的路径规划方法。目的是为多个车辆找到具有以下性质的多个固定长度路径:(i)有界曲率(ii)障碍物避免(iii)自由碰撞。我们的方法基于连续曲线的多边形近似。使用这个想法,我们在路径规划问题的任意精细放宽作为非渗透可行性优化问题。然后,我们提取了非现场动态系统方法,以找到这种优化问题的可行解决方案。结果表明,非球动态系统的轨迹总是收敛到与放宽问题的可行解决方案相对应的一些均衡。所提出的框架可以处理更复杂的多车辆系统的使命场景,例如Rendezvous和面积覆盖。

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