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Shortest Paths to Obstacles for a Polygonal Dubins Car

机译:多边形杜宾斯汽车遇到障碍的最短路径

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摘要

In this paper, we characterize the time-optimal trajectories leading a Dubins car in collision with the obstacles in its workspace. Due to the constant velocity constraint characterizing the Dubins car model, these trajectories form a sufficient set of shortest paths between any robot configuration and the obstacles in the environment. Based on these paths, we define and give the algorithm for computing a distance function that takes into account the nonholonomic constraints and captures the nonsymmetric nature of the system. The developments presented here assume that the obstacles and the robot are polygons although the methodology can be applied to different shapes.
机译:在本文中,我们描述了引导杜宾斯汽车与工作区中的障碍物碰撞的时间最优轨迹。由于杜宾斯汽车模型具有恒定的速度约束,因此这些轨迹在任何机器人配置和环境中的障碍物之间形成了足够短的路径。基于这些路径,我们定义并给出了一种计算距离函数的算法,该算法考虑了非完整约束并捕获了系统的非对称性质。尽管该方法可以应用于不同的形状,但此处提出的发展假设障碍物和机器人是多边形。

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