Christian Matenar

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This paper presents an algorithms for learning occupancy grid maps with mobile robots equipped with range finders, such as sonar sensors. Our approach employs the EM algorithm to solve the concurrent mapping and localization problem. To accommodate the spatial nature of range data, it relies on a two-layered representation of maps, where global maps are(More)
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