Journal of System Simulation
Abstract
Abstract: RRT (rapidly exploring random tree) algorithm is a sampling-based path planning algorithm, which can search a path in high-dimensional environment. The traditional RRT algorithm has the problems of low node utilization and large amount of calculation. To solve these problems, the fast RRT* (Quick RRT*) algorithm is improved by optimizing the strategy of reselection of parent node and pruning range, improving the sampling method and introducing adaptive step size, which makes the algorithm time-consuming and path length shorter. At the same time, the node connection screening strategy is added to eliminate the excessive turning angle in the path. Experimental results show that the improved algorithm can quickly find the shortest collision free path in three-dimensional environment, and the running time is greatly reduced.
Recommended Citation
Li, Zhaoqiang and Zhang, Shiyu
(2022)
"Research on 3D Path Planning Algorithm Based on Fast RRT Algorithm,"
Journal of System Simulation: Vol. 34:
Iss.
3, Article 8.
DOI: 10.16182/j.issn1004731x.joss.20-0829
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss3/8
First Page
503
Revised Date
2020-12-07
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-0829
Last Page
511
CLC
TP249
Recommended Citation
Zhaoqiang Li, Shiyu Zhang. Research on 3D Path Planning Algorithm Based on Fast RRT Algorithm[J]. Journal of System Simulation, 2022, 34(3): 503-511.
DOI
10.16182/j.issn1004731x.joss.20-0829
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