ausblenden:
Schlagwörter:
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Zusammenfassung:
Object recognition is a fundamental topic for the development of robotic systems able to interact with the
environment. Most existing methods are based on vision systems and assume a broad point of view over the objects, which are observed in their entirety. This assumption is sometimes difficult to fulfill in practice, and in particular in swarm systems, constituted by a multitude of small robots with limited sensing and computational capabilities. We have developed a method for object recognition with a heterogeneous swarm of low-informative spatially-distributed sensors employing a distributed version of the naive Bayes classifier. Simulation results show the effectiveness of this approach highlighting some
nice properties of the developed algorithm.
