Dynamic sampling rrt for improved performance in large environments

G Elmkaiel, SV Valeryvich - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Basic RRT path planning algorithm uses a uniform random sampling over the entire free
space of the environment in the process of producing new points for the RRT tree, which
attain good results in cases of environments with simple and far apart obstacles. But it
becomes much more challenging in large and complex environments with narrow passages
between obstacles. This paper presents an improvement on the sampling method used in
the rapidly-exploring random trees (RRT) search and path planning algorithm to improve its …

Dynamic sampling RRT for improved performance in large environments

E Ghadeer, VV Serebrenny - AIP Conference Proceedings, 2022 - pubs.aip.org
The basic rapidly exploring random tree (RRT) path-planning algorithm uses a uniform
random sampling over the entire free space of the environment in the process of producing
new points for the RRT tree. That approach achieves good results in environments with
simple and distant obstacles but becomes far more challenging in large and complex
environments with narrow passages between obstacles. This paper presents an
improvement of the sampling method used in the RRT search and path-planning algorithm …
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