DocumentCode :
604484
Title :
Design and implementation of improved RRT algorithm for collision free motion planning of high-dimensional robot in complex environment
Author :
Li Huazhong ; Liang Yongsheng ; Wang Meini ; Tangren, Dan
Author_Institution :
Software Inst., Shenzhen Inst. of Inf. Technol., Shenzhen, China
fYear :
2012
fDate :
29-31 Dec. 2012
Firstpage :
1391
Lastpage :
1397
Abstract :
According to the collision free motion planning of high-dimensional robot in the complex environment, the improved RRT algorithm is proposed. First of all, collision detection algorithm is put forward on the basis of OBB by using Separating Axis principle. Secondly, the basic RRT algorithm concept is studied, and by integrating J-Space sampling and C-Space modeling technology, the improved RRT algorithm that can promote the stability of performance and convergence rate is put forward; the collision detection algorithm proposed in this paper is integrated into the improved RRT algorithm to judge whether the robot in C-Space collides with the obstacles. Finally, a three-dimensional system software framework is designed and achieved, and the effectiveness and stability proposed in this paper is verified via computational simulation.
Keywords :
collision avoidance; control engineering computing; motion control; robots; sampling methods; stability; trees (mathematics); C-space modeling technology; J-space sampling; OBB; basic RRT algorithm concept; collision detection algorithm; collision free motion planning; complex environment; computational simulation; convergence rate; high-dimensional robot; improved RRT algorithm; oriented bounding box; rapidly-exploring random tree; separating axis principle; stability; three-dimensional system software framework; collision free; computational simulation; motion pfanning; rapidly-exploring random trees; robot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4673-2963-7
Type :
conf
DOI :
10.1109/ICCSNT.2012.6526180
Filename :
6526180
Link To Document :
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