Abstract
This paper describes a multi-robot localization scenario where, for a period of time, the robot team loses communication with one of the robots due to system error. In this novel approach, extended Kalman filter (EKF) algorithms utilize relative measurements to localize the robots in space. These measurements are used to reliably compensate “dead-com” periods were no information can be exchanged between the members of the robot group.
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© 2006 Springer-Verlag Berlin Heidelberg
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Kondaxakis, P., Ruiz, V.F., Harwin, W.S. (2006). Suboptimal System Recovery from Communication Loss in a Multi-robot Localization Scenario using EKF Algorithms. In: Tokhi, M.O., Virk, G.S., Hossain, M.A. (eds) Climbing and Walking Robots. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26415-9_78
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DOI: https://doi.org/10.1007/3-540-26415-9_78
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26413-2
Online ISBN: 978-3-540-26415-6
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