LEARNING
Hybrid neural-based control system for mobile robot
А. В. Гаврилов, V.V. Gubarev, Kang-Hyun Jo, H.H. Lee
- Year
- 2005
- Citations
- 15
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
Computer scienceMobile robotArchitectureArtificial neural networkArtificial intelligenceAssociative propertyControl (management)Content-addressable memoryRobotComputer architecture
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