A framework for planning motion in environments with moving obstacles

S. Rodríguez, Jyh-Ming Lien, N. Amato
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引用次数: 25

Abstract

In this paper we present a heuristic approach to planning in an environment with moving obstacles. Our approach assumes that the robot has no knowledge of the future trajectory of the moving objects. Our framework also distinguishes between two types of moving objects in the environment: hard and soft objects. We distinguish between the two types of objects in the environment as varying application domains could allow for some collision between some types of moving objects. For example, a robot planning a path in an environment with people could have the people modeled as circular disks with a safe zone surrounding each person. Although the robot may try to stay out of each safe zone, violating that criteria would not necessarily result in planning failure. We will show the effectiveness of our planner in general dynamic environments with the soft objects having varying behaviors.
在有移动障碍物的环境中规划运动的框架
在本文中,我们提出了一种启发式的方法来规划在移动障碍的环境。我们的方法假设机器人不知道运动物体的未来轨迹。我们的框架还区分了环境中两种类型的移动物体:硬物体和软物体。我们区分环境中的两种类型的对象,因为不同的应用程序域可能允许某些类型的移动对象之间发生碰撞。例如,一个机器人在有人的环境中规划路径,可以将人建模为圆形磁盘,每个人周围都有一个安全区。尽管机器人可能会尝试远离每个安全区域,但违反该标准并不一定会导致计划失败。我们将展示我们的规划器在具有不同行为的软物体的一般动态环境中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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