Masters Theses

Mobile robot navigation using RAM-based neural network and fuzzy logic methods

Keywords and Phrases

Collision avoidance systems

Abstract

"This thesis deals with computationally efficient fuzzy and neural algorithms for mobile robot navigation in an unknown environment. Compared with burdensome and time consuming calculation of normal neural netwok, the RAM-based network and fuzzy logic methods require little computational load and are well suited to a microcontroller based system."--Abstract, page iii.

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Publisher

University of Missouri--Rolla

Publication Date

Summer 2004

Pagination

xi, 96 pages

Rights

Document Type

Thesis - Citation

File Type

text

Language

English

Subject Headings

Robots -- Control systems
Neural networks (Computer science)
Mobile robots -- Design and construction

Thesis Number

T 8586

Print OCLC #

57894826

Link to Catalog Record

Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.

http://merlin.lib.umsystem.edu/record=b5282175~S5

Recommended Citation

Yao, Qiang, "Mobile robot navigation using RAM-based neural network and fuzzy logic methods" (2004). Masters Theses. 2634.
https://scholarsmine.mst.edu/masters_theses/2634

This document is currently not available here.

Share My Thesis If you are the author of this work and would like to grant permission to make it openly accessible to all, please click the button above.

COinS