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Suboptimal system recovery from communication loss in a multi-robot localization scenario using EKF algorithms

Kondaxakis, P., Ruiz, V. F. and Harwin, W. S. ORCID: https://orcid.org/0000-0002-3928-3381 (2006) Suboptimal system recovery from communication loss in a multi-robot localization scenario using EKF algorithms. In: Tokhi, M. O., Virk, G. S. and Hossain, M. A. (eds.) Climbing and Walking Robots (8th International Conference on Climbing and Walking Robots (CLAWAR 2005)). Springer-Verlag Berlin, pp. 649-658. ISBN 3540264132

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Abstract/Summary

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.

Item Type:Book or Report Section
Divisions:Life Sciences > School of Biological Sciences > Department of Bio-Engineering
ID Code:14410
Uncontrolled Keywords:multi-robots, localization, EKF, communication
Additional Information:Proceedings Paper 8th International Conference on Climbing and Walking Robots (CLAWAR 2005) SEP 13-15, 2005 London, ENGLAND
Publisher:Springer-Verlag Berlin

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