ST-RRT*: Asymptotically-Optimal Bidirectional Motion Planning through Space-Time
March 04, 2022 Β· Declared Dead Β· π IEEE International Conference on Robotics and Automation
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Authors
Francesco Grothe, Valentin N. Hartmann, Andreas Orthey, Marc Toussaint
arXiv ID
2203.02176
Category
cs.RO: Robotics
Citations
40
Venue
IEEE International Conference on Robotics and Automation
Last Checked
5 months ago
Abstract
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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