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  Probabilistic mutual localization in multi-agent systems from anonymous position measures

Franchi, A., Oriolo, G., & Stegagno, P. (2010). Probabilistic mutual localization in multi-agent systems from anonymous position measures. In 49th IEEE Conference on Decision and Control (CDC 2010) (pp. 6534-6540). Piscataway, NJ, USA: IEEE.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-BD3A-B Version Permalink: http://hdl.handle.net/21.11116/0000-0002-7E64-1
Genre: Conference Paper

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 Creators:
Franchi, A1, 2, Author              
Oriolo, G, Author
Stegagno, P, Author              
Affiliations:
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: Recent research on multi-agent systems has produced a plethora of decentralized controllers that implicitly assume various degrees of agent localization. However, many practical arrangements commonly taken to allow and achieve localization imply some form of centralization, from the use of physical tagging to allow the identification of the single agent to the adoption of global positioning systems based on cameras or GPS. These devices clearly decrease the system autonomy and range of applicability, and should be avoided if possible. Following this guideline, this work addresses the mutual localization problem with anonymous relative position measures, presenting a robust solution based on a probabilistic framework. The proposed localization system exhibits higher accuracy and lower complexity (O(n2)) than our previous method [1]. Moreover, with respect to more conventional solutions that could be conceived on the basis of the current literature, our method is theoretically suitable for tasks requiring frequent, manyto- many encounters among agents (e.g., formation control, cooperative exploration, multiple-view environment sensing). The proposed localization system has been validated by means of an extensive experimental study.

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 Dates: 2010-12
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: ISBN: 978-1-4244-7745-6
URI: http://www.ieeecss.org/CAB/conferences/cdc2010/index.php
DOI: 10.1109/CDC.2010.5717905
BibTex Citekey: 6675
 Degree: -

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Title: 49th IEEE Conference on Decision and Control (CDC 2010)
Place of Event: Atlanta, GA, USA
Start-/End Date: 2010-12-15 - 2010-12-17

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Title: 49th IEEE Conference on Decision and Control (CDC 2010)
Source Genre: Proceedings
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Affiliations:
Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 6534 - 6540 Identifier: ISBN: 978-1-4244-7745-6