存在移动平面障碍物时运动规划的速度界

V. Lumelsky, S. Tiwari
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引用次数: 7

摘要

研究了具有多个任意移动障碍物的平面环境下移动机器人的运动规划问题。机器人和障碍物都是任意形状的刚体。所有的刚性运动——旋转和平移——都被认为是障碍物;机器人只能靠平移来移动。机器人事先不知道障碍物的形状或运动,而是从传感器实时获取周围环境的信息。导出了保证机器人向目标位置无碰撞运动的充分必要条件。即,如果机器人的最大速度以障碍物的最大允许速度的倍数为界,则可以设计出可证明的运动规划算法。该范围内的常数倍数考虑了障碍物的非凸性和任何障碍物与机器人目标位置之间的(最小)距离范围。
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Velocity bounds for motion planning in the presence of moving planar obstacles
This paper is concerned with motion planning for a mobile robot operating in a planar environment with multiple arbitrarily moving obstacles. The robot and obstacles are rigid bodies of arbitrary shapes. All rigid motion-rotation and translation-is considered for the obstacles; the robot can move only by translation. The robot has no advance information about the obstacles' shapes or motion, and obtains information about the surrounding environment from its sensors, in real time. Necessary and sufficient conditions are derived under which collision-free motion of the robot to its target position can be guaranteed. Namely, it is shown that if the maximum velocity of the robot is bounded below by a multiple of the maximum allowable velocity of the obstacles, then a provable motion planning algorithm can be devised. The constant multiple in this bound takes into account the nonconvexity of the obstacles and a bound on the (minimal) distance between any obstacle and the robot's target position.<>
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