ANN-based Track Follower Using FPAA: Artificial Neural Network-based Track Follower Using Field Programmable Analog Array

Dallal Bashi, Omar Ibrahim Yehya, Salih, Thair Ali

ISBN 10: 3659121916 / ISBN 13: 9783659121913

Published by LAP LAMBERT Academic Publishing, 2012

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Bibliographic Details

• Title: ANN-based Track Follower Using FPAA: Artificial Neural Network-based Track Follower Using Field Programmable Analog Array
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 3659121916
• ISBN 13: 9783659121913
• Binding: paperback
• Condition: New
• Book Type: book

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Synopsis

This thesis aims to design and implement a mobile robot system which has the ability to move along a predefined path and explore elements by visual processing system and move with discretion through a place in so many forms. A field programmable analog array technology has been used in building two types of controller systems; the proportional-integral controller system and the artificial neural network controller system on the route of the robot, in addition to the use of this technology in programming the movement of robotic arm to pick up required objects. The FPAA is chosen to build the proposed robot system because the signal processing is totally in the analog domain. This has the advantage of producing simpler systems than those in digital microcontrollers.

About the Author

Mr. Omar Ibrahim Yehya Dallal Bashi has obtained B. Engineering Degree in Computer Engineering Department in Technical Collage of Mosul/Iraq in 2009 and his rank was the 1st. He obtained Technical Master Degree in 2011 from the same college. His interests are in the robotic projects and he published two papers concerning with the robotic science.