DocumentCode :
651092
Title :
GPU-based collision detection for sampling-based motion planning
Author :
Jaeshik Yoon ; Jaehan Park ; Baeg, Moonhong
Author_Institution :
Univ. of Sci. & Technol., Daejeon, South Korea
fYear :
2013
fDate :
Oct. 30 2013-Nov. 2 2013
Firstpage :
215
Lastpage :
218
Abstract :
This paper presents GPU-based collision detection method that accelerates collision queries for sampling-based motion planning. This approach uses many-core GPUs. To take advantage of a many-core GPU, kinematic and collision detection is calculated by the GPU. The experimental results indicate that this approach can result in a ten-fold faster performance than when using a CPU.
Keywords :
collision avoidance; graphics processing units; multiprocessing systems; robots; GPU-based collision detection method; collision query; kinematic detection; many-core GPU; sampling-based motion planning; Collision detection; Motion planning; PRMs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2013 10th International Conference on
Conference_Location :
Jeju
Print_ISBN :
978-1-4799-1195-0
Type :
conf
DOI :
10.1109/URAI.2013.6677345
Filename :
6677345
Link To Document :
بازگشت