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...
Main Authors: | Haidong Wang, Huicheng Lai, Haohao Du, Guxue Gao |
---|---|
格式: | 文件 |
语言: | English |
出版: |
Elsevier
2024-09-01
|
丛编: | Journal of King Saud University: Computer and Information Sciences |
主题: | |
在线阅读: | http://www.sciencedirect.com/science/article/pii/S1319157824002350 |
相似书籍
-
FF-RRT*: a sampling-improved path planning algorithm for mobile robots against concave cavity obstacle
由: Jiping Cong, et al.
出版: (2023-06-01) -
FC-RRT*: An Improved Path Planning Algorithm for UAV in 3D Complex Environment
由: Yicong Guo, et al.
出版: (2022-02-01) -
Path planning technologies for USV formation based on improved RRT
由: OUYANG Zilu, et al.
出版: (2020-06-01) -
Automatic path planning program generation system based on swarm intelligence results
由: Yuqian WANG, et al.
出版: (2022-06-01) -
Improved RRT* Algorithm for Disinfecting Robot Path Planning
由: Haotian Wang, et al.
出版: (2024-02-01)