IBPF-RRT*: An improved path planning algorithm with Ultra-low number of iterations and stabilized optimal path quality
Due to its asymptotic optimality, the Rapidly-exploring Random Tree star (RRT*) algorithm is widely used for robotic operations in complex environments. However, the RRT* algorithm suffers from poor path quality, slow convergence, and unstable generation of high-quality paths in the path planning pr...
| 主要な著者: | , , , |
|---|---|
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Elsevier
2024-09-01
|
| シリーズ: | Journal of King Saud University: Computer and Information Sciences |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S1319157824002350 |