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This paper presents a new approach for the classical Markov localization method for mobile robots by using image quality evaluation. Machine learning techniques have been used to obtain the quality of the images. This quality value is used to select the best information source, between odometry and sensor information. Real experiments in different scenarios of the Robocup standard platform league...
How sequences of actions are learned, remembered, and generated is a core problem of cognition. Despite considerable theoretical work on serial order, it typically remains unexamined how physical agents may direct sequential actions at the environment within which they are embedded. Situated physical agents face a key problem - the need to accommodate variable amounts of time it takes to terminate...
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