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  Relative localization and identification in a heterogeneous multi-robot system

Stegagno, P., Cognetti, M., Rosa, L., Peliti, P., & Oriolo, G. (2013). Relative localization and identification in a heterogeneous multi-robot system. In IEEE International Conference on Robotics and Automation (ICRA 2013) (pp. 1857-1864). Piscataway, NJ, USA: IEEE.

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Stegagno, P1, Author              
Cognetti, M1, Author              
Rosa, L, Author
Peliti, P, Author
Oriolo, G, Author
Affiliations:
1Dipartimento di Ingegneria Informatica, Automatica e Gestionale, Sapienza University of Rome, ou_persistent22              

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 Abstract: We develop a localization method for a single-UAV/multi-UGV heterogeneous system of robots. Considering the natural supervisory role of the UAV and the challenging (but realistic) assumption that the UAV-to-UGV measurements do not include the identities of the UGVs, we have adopted the PHD filter as a multi-target tracking technique. However, the standard version of this filter does not take into account odometric information coming from the targets, nor does it solve the problem of estimating their identities. Hence, we design ID-PHD, a modification of the PHD filter that is able to reconstruct the identities of the targets by incorporating odometric data. The proposed localization method has been successfully validated through experiments. Some preliminary results of a localization-based control scheme for the multi-robot system are also presented.

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 Dates: 2013-10
 Publication Status: Published in print
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 Rev. Type: -
 Identifiers: DOI: 10.1109/ICRA.2013.6630822
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Title: IEEE International Conference on Robotics and Automation (ICRA 2013)
Place of Event: Karlsruhe, Germany
Start-/End Date: 2013-05

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Title: IEEE International Conference on Robotics and Automation (ICRA 2013)
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1857 - 1864 Identifier: -