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- W3883068 abstract "The paper studies the problem of tracking a target robot by constructing in the observer robot a model of the behaviour of the target. The strategy of the target robot is not known in advance. The algorithm applied is an unsupervised learning algorithm. We make the assumption that the robot motion strategies can be modelled as a finite automata. First we suppose that the observations are noise free and then we relax this constraint to explore the case of a more general case where the observations have some special kind of noise." @default.
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- W3883068 date "2005-02-13" @default.
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- W3883068 title "Application of automata learning algorithms to robot motion tracking" @default.
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