Authors
Submit your research
Submission Guidelines
Editorial Board
Review Process
Publication Fee
Scirj Indexing

Publications
Research Journal
Special Issue
Thesis
Monograph

Research Library

RSS & Feeds

Subscribe

Scirj, Volume VI [2018]
May Issue [In Process]
April Issue
March Issue
February Issue
January Issue

Scirj, Volume V [2017]
December Issue
November Issue
October Issue
September Issue
August Issue
July Issue
June Issue
May Issue
April Issue
March Issue
February Issue
January Issue

Scirj Volume IV, Issue IX, September 2016 Edition
ISSN: 2201-2796

Weapon Control system for an Autonomous Robot Using Image Processing and Artificial Neural Networks

R.M.S.B Ratnayake

Abstract: Replacing human soldiers with autonomous robots can have many advantages such as saving human lives in a war field. Applying technology in the war field not only helps to save the life of soldiers, further it will definitely give more chances for the team to win over the enemy attacks. The robots can apply as spying, attacking or defending mechanism in the front battle field. In this research, a weapon control system has designed using image processing, Artificial neural network and servo motor control mechanism to fix in to an autonomous robot to track the enemy and control a robot arm with a fixed weapon to exactly target the enemy object by accurately turning the servo motors to the required angle.

Reference this Paper: Weapon Control system for an Autonomous Robot Using Image Processing and Artificial Neural Networks by R.M.S.B Ratnayake published at: "Scientific Research Journal (Scirj), Volume IV, Issue IX, September 2016 Edition, Page 9-10 ".

Search Terms: Image Processing, Artificial Neural Network, Motor Control

[Read Research Paper]       [Full Screen]