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
fDate :
26 June-3 July 2004
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;
Conference_Titel :
Science and Technology, 2004. KORUS 2004. Proceedings. The 8th Russian-Korean International Symposium on
Print_ISBN :
0-7803-8383-4
DOI :
10.1109/KORUS.2004.1555265
