Improving Sampling-based Path Planning Methods with Fast Marching
ROBOT2013
Madrid/Spain
2013-11-28
Sampling-based path planning algorithms are well-known because they are able to find a path in a very short period of time, even in high-dimensional spaces. However, they are non-smooth, random paths far away from the optimum. In this paper we introduce a novel improving technique based on the Fast Marching Method which improves in a deterministic, non-iterative way the initial path provided by a sampling-based methods. Simulation results show that the computation time of the proposed method is low and that path length and
smoothness are improved.
CONGRESS BOOK
ROBOT2013: First Iberian Robotics Conference
ISBN978-3-319-03413-3
EditorialSpringer
First page0
Last page0
Year2013