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Navigation control of an autonomous ...

Texas A&M University - Kingsville.

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Navigation control of an autonomous robot using Artificial Immune System algorithm.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Navigation control of an autonomous robot using Artificial Immune System algorithm./
Author:	Sukumaran, Shriram.
Description:	152 p.
Notes:	Adviser: Selahattin Ozcelik.
Contained By:	Masters Abstracts International47-02.
Subject:	Engineering, Mechanical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1459429
ISBN:	9780549849469

Navigation control of an autonomous robot using Artificial Immune System algorithm.
Sukumaran, Shriram.

Navigation control of an autonomous robot using Artificial Immune System algorithm. - 152 p.

Adviser: Selahattin Ozcelik.

Thesis (M.S.)--Texas A&M University - Kingsville, 2008.

Adaptive Control Systems is a budding research subject in the field of Control Systems and Artificial Intelligence. This research focuses on the development of an adaptive learning mechanism that has been inspired by the biological Immune system, commonly known as Artificial Immune System. The purpose of this thesis is to study the existing algorithms and concepts in Artificial Immune Systems, improvise on them and attempt the 'randomized antibody selection' and in the process, create a more efficient and realistic immune system. The purpose of the Artificial Immune System algorithm in this case is to enable an autonomous wheeled robot to navigate itself through an environment with obstacles.

ISBN: 9780549849469Subjects--Topical Terms:

783786
Engineering, Mechanical.

Navigation control of an autonomous robot using Artificial Immune System algorithm.
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020 $a 9780549849469
035 $a (UMI)AAI1459429
035 $a AAI1459429
040 $a UMI $c UMI
100 1 $a Sukumaran, Shriram. $3 1058117
245 1 0 $a Navigation control of an autonomous robot using Artificial Immune System algorithm.
300 $a 152 p.
500 $a Adviser: Selahattin Ozcelik.
500 $a Source: Masters Abstracts International, Volume: 47-02, page: 1187.
502 $a Thesis (M.S.)--Texas A&M University - Kingsville, 2008.
520 $a Adaptive Control Systems is a budding research subject in the field of Control Systems and Artificial Intelligence. This research focuses on the development of an adaptive learning mechanism that has been inspired by the biological Immune system, commonly known as Artificial Immune System. The purpose of this thesis is to study the existing algorithms and concepts in Artificial Immune Systems, improvise on them and attempt the 'randomized antibody selection' and in the process, create a more efficient and realistic immune system. The purpose of the Artificial Immune System algorithm in this case is to enable an autonomous wheeled robot to navigate itself through an environment with obstacles.
590 $a School code: 1187.
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Engineering, Robotics. $3 1018454
690 $a 0548
690 $a 0771
710 2 $a Texas A&M University - Kingsville. $3 1022707
773 0 $t Masters Abstracts International $g 47-02.
790 $a 1187
790 1 0 $a Ozcelik, Selahattin, $e advisor
791 $a M.S.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1459429