|
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 IV, Issue III, March 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 III, March 2016 Edition, Page 9-10 ". Search Terms: Image Processing, Artificial Neural Network, Motor Control [Read Research Paper] [Full Screen] |
© 2012-2023 Scientific Research Journal, US . Malaysia . Australia Scirj is "refereed" or "peer reviewed" international journal. Open Access research journal licensed under Creative Commons Attribution CC BY. All rights reserved. |