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
         
        
        
            fDate : 
Oct. 30 2013-Nov. 2 2013
         
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Ubiquitous Robots and Ambient Intelligence (URAI), 2013 10th International Conference on
         
        
            Conference_Location : 
Jeju
         
        
            Print_ISBN : 
978-1-4799-1195-0
         
        
        
            DOI : 
10.1109/URAI.2013.6677345