DocumentCode
445608
Title
Hybrid neural-based control system for mobile robot
Author
Gavrilov, Andrey V. ; Gubarev, Vasilij V. ; Jo, Kang-Hyun ; Lee, H.H.
Author_Institution
Dept. of Comput. Sci., Novosibirsk State Tech. Univ., Russia
Volume
1
fYear
2004
fDate
26 June-3 July 2004
Firstpage
31
Abstract
The architecture of the control system for mobile robots is proposed in this paper. This architecture is based on a hybrid approach using neural networks for classification of images and organization of associative memory as well as semantic networks for natural language processing and achievement of goals.
Keywords
image classification; mobile robots; natural language interfaces; neurocontrollers; robot vision; semantic networks; associative memory organization; control system architecture; hybrid neural-based control system; image classification; mobile robot; natural language processing; neural networks; semantic networks; Artificial intelligence; Associative memory; Control systems; Electronic mail; Hybrid intelligent systems; Intelligent robots; Mobile robots; Natural languages; Neural networks; Robot kinematics;
fLanguage
English
Publisher
ieee
Conference_Titel
Science and Technology, 2004. KORUS 2004. Proceedings. The 8th Russian-Korean International Symposium on
Print_ISBN
0-7803-8383-4
Type
conf
DOI
10.1109/KORUS.2004.1555265
Filename
1555265
Link To Document