Supervised learning technique for a mobile robot controller in a visual line tracking task
作者： Andrey A. Loukianov , Masanori Sugisaka
DOI: 10.1007/BF02481323
关键词: Robot learning 、 Supervised learning 、 Unsupervised learning 、 Computer science 、 Visual servoing 、 Computer vision 、 Artificial intelligence 、 Mobile robot 、 Wake-sleep algorithm 、 Active learning (machine learning) 、 Artificial neural network
摘要: This article deals with the development of learning methods for an intelligent control system autonomous mobile robot. On basis visual servoing, approach to skill tracking colored guidelines is proposed. utilizes a robust and adaptive image processing method acquire features convert them into controller input. The supervised procedure neural network are discussed. obtaining data training described. Experimental results presented at end article.
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