DocumentCode
548271
Title
Autonomous robot control by WTA neural network
Author
Paterega, I.
Author_Institution
CAD Dept., Lviv Polytech. Nat. Univ., Lviv, Ukraine
fYear
2011
fDate
11-14 May 2011
Firstpage
164
Lastpage
167
Abstract
This paper gives a review of the WTA neural network which is used in autonomous robot control. The models of each building block in general network architecture of autonomous robot is overviewed. Some advantages, limitation and results of these models are presented.
Keywords
mobile robots; neurocontrollers; WTA neural network; autonomous robot control; mobile robots; winner-take-all neural network; Artificial neural networks; Detectors; Feature extraction; Robot kinematics; Robot sensing systems; Neural network; autonomous robot; robot control; winner-take-all;
fLanguage
English
Publisher
ieee
Conference_Titel
Perspective Technologies and Methods in MEMS Design (MEMSTECH), 2011 Proceedings of VIIth International Conference on
Conference_Location
Polyana
Print_ISBN
978-1-4577-0639-4
Electronic_ISBN
978-966-2191-18-9
Type
conf
Filename
5960323
Link To Document