Title :
Autonomous robot control by WTA neural network
Author_Institution :
CAD Dept., Lviv Polytech. Nat. Univ., Lviv, Ukraine
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;
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
