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Dynamic neural network approach to i...

Sakalaukus, James R.

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Dynamic neural network approach to integrated autonomous path planning and navigation.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Dynamic neural network approach to integrated autonomous path planning and navigation./
作者:	Sakalaukus, James R.
面頁冊數:	73 p.
附註:	Source: Masters Abstracts International, Volume: 48-06, page: 3809.
Contained By:	Masters Abstracts International48-06.
標題:	Engineering, Computer. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1485493
ISBN:	9781124132150

Dynamic neural network approach to integrated autonomous path planning and navigation.
Sakalaukus, James R.

Dynamic neural network approach to integrated autonomous path planning and navigation. - 73 p.

Source: Masters Abstracts International, Volume: 48-06, page: 3809.

Thesis (M.S.)--University of South Alabama, 2010.

A new method for autonomously navigating a robot in an indoor dynamic environment was developed. A fuzzy inference system (FIS) and a neural network were developed and tested, and the FIS was better able to navigate the robot in a complex environment. The FIS system was implemented in the embedded hardware of the robot, thus eliminating a laptop computer running MATLAB and LabVIEW. A wrapper for the FIS was made to accept human directions over a TCP/IP protocol. The protocol can be used to navigate a robot autonomously from one location to another in the same building using the FIS.

ISBN: 9781124132150Subjects--Topical Terms:

1669061
Engineering, Computer.

Dynamic neural network approach to integrated autonomous path planning and navigation.
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