Robot motion planning: the case of nonholonomic mobiles in a dynamic world

Thierry Fraichard, C. Laugier, G. Lievin
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引用次数: 14

Abstract

The authors present a trajectory planner whose purpose is to determine a smooth trajectory C which is maneuver free and collision free with respect to the static obstacles of the world. C is made up of straight segments and of circular arcs connected so that C is of class C/sup 1/ and the circular transitions are determined by building and searching a particular domain called the 'space of curvature centers'. They describe a motion controller which is concerned with the online execution of a motion plan made up of the trajectory C and of time constraints of the type 'reach location l at time t'. The motion controller operates on a discretized model of the local environment of the vehicle. This model is used to adapt the behaviour of the vehicle to the characteristics of its actual environment (to avoid the other vehicles in particular). This is achieved using a potential fields approach allowing the vehicle to follow as closely as possible the given nominal trajectory and to satisfy as much as possible the associated time constraints.<>
机器人运动规划:动态世界中非完整移动的情况
本文提出了一种轨迹规划方法,其目的是确定一种相对于世界静态障碍物无机动、无碰撞的光滑轨迹C。C由直线段和圆弧组成,因此C的类别为C/sup /,圆形过渡是通过建立和搜索一个称为“曲率中心空间”的特定域来确定的。他们描述了一种运动控制器,它与运动计划的在线执行有关,该运动计划由轨迹C和“在时间t到达位置l”类型的时间约束组成。运动控制器在车辆局部环境的离散化模型上运行。该模型用于使车辆的行为适应其实际环境的特征(特别是避免其他车辆)。这是通过使用势场方法实现的,该方法允许飞行器尽可能地遵循给定的标称轨迹,并尽可能地满足相关的时间约束
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