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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.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Navigation control of an autonomous robot using Artificial Immune System algorithm./
作者:	Sukumaran, Shriram.
面頁冊數:	152 p.
附註:	Adviser: Selahattin Ozcelik.
Contained By:	Masters Abstracts International47-02.
標題:	Engineering, Mechanical. -
電子資源:	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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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.
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