|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 69 - Issue 28 |
| Published: May 2013 |
| Authors: Abhishek Kumar, Ravi Bhushan Mishra |
10.5120/12249-8443
|
Abhishek Kumar, Ravi Bhushan Mishra . A Parallelized Matrix-Multiplication Implementation of Neural Network for Collision Free Robot Path Planning. International Journal of Computer Applications. 69, 28 (May 2013), 24-29. DOI=10.5120/12249-8443
@article{ 10.5120/12249-8443,
author = { Abhishek Kumar,Ravi Bhushan Mishra },
title = { A Parallelized Matrix-Multiplication Implementation of Neural Network for Collision Free Robot Path Planning },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 69 },
number = { 28 },
pages = { 24-29 },
doi = { 10.5120/12249-8443 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Abhishek Kumar
%A Ravi Bhushan Mishra
%T A Parallelized Matrix-Multiplication Implementation of Neural Network for Collision Free Robot Path Planning%T
%J International Journal of Computer Applications
%V 69
%N 28
%P 24-29
%R 10.5120/12249-8443
%I Foundation of Computer Science (FCS), NY, USA
This paper covers the problem of Collision Free Path Planning for an autonomous robot and proposes a solution to it through the Back Propagation Neural Network. The solution is transformed into a composition of matrix-multiplication operations, which is a classic example of problems that can be efficiently parallelized. This paper finally proposes a parallel implementation of this matrix-multiplication method which, in itself, encapsulates the neural network that implements the collision free path planning for an autonomous robot.