当前位置: X-MOL 学术Adv. Robot. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
RRT*N: an efficient approach to path planning in 3D for Static and Dynamic Environments
Advanced Robotics ( IF 1.4 ) Pub Date : 2020-12-09 , DOI: 10.1080/01691864.2020.1850349
Hussein Mohammed 1 , Lotfi Romdhane 2 , Mohammad A. Jaradat 2, 3
Affiliation  

In this paper, a modified algorithm of the Rapidly exploring Random Tree star (RRT*) is proposed. This method is called RRT*N. The main advantage of this method is its speed and robustness in findi...

中文翻译:

RRT*N:静态和动态环境中 3D 路径规划的有效方法

在本文中,提出了一种改进的快速探索随机树星(RRT*)算法。这种方法称为 RRT*N。这种方法的主要优点是它在查找中的速度和鲁棒性。
更新日期:2020-12-09
down
wechat
bug