Mobile robot navigation using RAM-based neural network and fuzzy logic methods
Keywords and Phrases
Collision avoidance systems
"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, leaf iii.
Electrical and Computer Engineering
M.S. in Electrical Engineering
University of Missouri--Rolla
xi, 96 leaves
© 2004 Qiang Yao, All rights reserved.
Thesis - Citation
Library of Congress Subject Headings
Robots -- Control systems
Neural networks (Computer science)
Mobile robots -- Design and construction
Print OCLC #
Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu/record=b5282175~S5
Yao, Qiang, "Mobile robot navigation using RAM-based neural network and fuzzy logic methods" (2004). Masters Theses. 2634.
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