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Slam and robot navigation using Arti...

Phadke, Pranav Pradeep.

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Slam and robot navigation using Artificial Immune System with speed variable obstacle detection.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Slam and robot navigation using Artificial Immune System with speed variable obstacle detection./
作者:	Phadke, Pranav Pradeep.
面頁冊數:	208 p.
附註:	Source: Masters Abstracts International, Volume: 52-01.
Contained By:	Masters Abstracts International52-01(E).
標題:	Engineering, Robotics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1540236
ISBN:	9781303173271

Slam and robot navigation using Artificial Immune System with speed variable obstacle detection.
Phadke, Pranav Pradeep.

Slam and robot navigation using Artificial Immune System with speed variable obstacle detection. - 208 p.

Source: Masters Abstracts International, Volume: 52-01.

Thesis (M.S.)--Texas A&M University - Kingsville, 2013.

Artificial Immune System (AIS) is an excellent concept which is exploited in the field of Control Systems for the purpose of robot navigation. A number of algorithms has been developed over the years. The purpose of this research is to study the current algorithm and overcome shortcomings in obstacle detection phase. The thesis also focuses on integrating the SICK Laser Range Finder (LRF) with the existing immune algorithm.

ISBN: 9781303173271Subjects--Topical Terms:

1018454
Engineering, Robotics.

Slam and robot navigation using Artificial Immune System with speed variable obstacle detection.
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500 $a Adviser: Selahattin Ozcelik.
502 $a Thesis (M.S.)--Texas A&M University - Kingsville, 2013.
520 $a Artificial Immune System (AIS) is an excellent concept which is exploited in the field of Control Systems for the purpose of robot navigation. A number of algorithms has been developed over the years. The purpose of this research is to study the current algorithm and overcome shortcomings in obstacle detection phase. The thesis also focuses on integrating the SICK Laser Range Finder (LRF) with the existing immune algorithm.
520 $a Robot navigation is closely associated with its localization in space and mapping the space in which the robot is present. Simultaneous Localization and Mapping (SLAM) this thesis is a supporting tool for visualizing robot path in space. This thesis aims to study the SLAM problem using Extended Kalman Filter (EKF) and implement it on Pioneer 3Dx along with the AIS navigation problem in C++.
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