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  Object Recognition in Swarm Systems: Preliminary Results

Stegagno, P., Massidda, C., & Bülthoff, H. (2014). Object Recognition in Swarm Systems: Preliminary Results. In Workshop on the Centrality of Decentralization in Multi-Robot Systems: Holy Grail or False Idol? (IEEE ICRA 2014) (pp. 1-3).

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ICRA-2014-Stegagno2.pdf (Any fulltext), 785KB
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Stegagno, P1, 2, Author           
Massidda, C1, 2, Author           
Bülthoff, HH1, 2, Author           
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1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: 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.

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 Dates: 2014-06
 Publication Status: Published in print
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 Identifiers: BibTex Citekey: StegagnoMB2014
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Title: Workshop on the Centrality of Decentralization in Multi-Robot Systems: Holy Grail or False Idol? (IEEE ICRA 2014)
Place of Event: Hong Kong, China
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Title: Workshop on the Centrality of Decentralization in Multi-Robot Systems: Holy Grail or False Idol? (IEEE ICRA 2014)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 3 Identifier: -