Path Planning of Nonholonomic Flying Robots Using a New Virtual Obstacle Method

被引:0
|
作者
Mohamadnejad, Nazanin [1 ]
Masehian, Ellips [1 ]
机构
[1] Tarbiat Modares Univ, Fac Engn, Tehran 14115143, Iran
关键词
Flying robot; UAV; 3D path planning; Nonholonomic constraints; Fast Marching Method; Virtual obstacle; Torus;
D O I
暂无
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This paper presents a method for planning near optimal collision-free path between two pre-specified points with given orientations for nonholonomic flying robots or UAVs navigating in a 3D space amid obstacles. The proposed method is based on the Fast Marching Method (FMM), which uses a first order numerical approximation of the Eikonal equation. The FMM is combined with average filter, B-spline functions and a new tool called Virtual Obstacle to guarantee smoothness of the produced path. The Virtual Obstacle is in the form of a torus to adjust the path with orientation of the flying robot at the start and goal points. Experimental results showed that the proposed method can find near-optimal paths with maximum curvatures less than the robot's minimum flying radius.
引用
收藏
页码:612 / 617
页数:6
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