运动规划
渐近最优算法
运动(物理)
计算机科学
移动机器人
规划师
机器人
路径(计算)
数学优化
控制理论(社会学)
数学
计算机视觉
人工智能
控制(管理)
计算机网络
作者
Francesco Grothe,Valentin N. Hartmann,Andreas Orthey,Marc Toussaint
标识
DOI:10.1109/icra46639.2022.9811814
摘要
We present a motion planner for planning through space-time with dynamic obstacles, velocity constraints, and unknown arrival time. Our algorithm, Space-Time RRT*(ST-RRT*), is a probabilistically complete, bidirectional motion planning algorithm, which is asymptotically optimal with respect to the shortest arrival time. We experimentally evaluate ST-RRT* in both abstract (2D disk, 8D disk in cluttered spaces, and on a narrow passage problem), and simulated robotic path planning problems (sequential planning of 8DoF mobile robots, and 7DoF robotic arms). The proposed planner outperforms RRT-Connect and RRT* on both initial solution time, and attained final solution cost. The code for ST-RRT* is available in the Open Motion Planning Library (OMPL).
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