Carl Owen

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This paper describes route-learning experiments with an autonomous mobile robot in which mapbuilding is achieved through a process of unsupervised clustering of sensory data. The resulting topological mapping of the robot's perceptual space is used for subsequent navigation tasks such as route following. After the autonomous mapbuilding process is(More)
Mobile robot navigation under controlled laboratory conditions is, by now, state of the art and reliably achievable. To transfer navigation mechanisms used in such small-scale environments to applications in untreated, large environments, however, is not trivial, and typically requires modifications to the original navigation mechanism: scaling up is hard.(More)
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