DocumentCode :
3006776
Title :
On the value of collaboration in anchorless robot self-localization
Author :
Schloemann, Javier ; Buehrer, R. Michael
Author_Institution :
Mobile & Portable Radio Res. Group (MPRG), Wireless@Virginia Tech, Blacksburg, VA, USA
fYear :
2012
fDate :
Oct. 29 2012-Nov. 1 2012
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we consider the value of collaboration in anchorless robot self-localization. Robots which rely solely on data from imperfect inertial measurement units become increasingly less certain of their locations over time. Without anchors or landmarks to help them regain their bearings, these robots reach a point at which they essentially have no idea of their locations. If, however, these robots are given the ability to communicate with one another, they can utilize additional information gained through collaboration to correct their beliefs and collectively improve their location estimates. In this work, we characterize how inter-robot collaboration impacts self-localization performance and discuss whether any additional information, such as an estimator confidence measure, may be gleaned from the resulting corrected beliefs.
Keywords :
Bayes methods; least mean squares methods; mobile robots; anchorless robot self-localization; collaborative position location; estimator confidence measure; interrobot collaboration; location estimation; minimum mean squares error estimation; mobile robots; Approximation methods; Bayesian methods; Collaboration; Geometry; Robot sensing systems; Standards; Collaborative position location; minimum mean square error (MMSE) estimation; particle filtering; sampling importance resampling (SIR) filter; self-localization; tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
MILITARY COMMUNICATIONS CONFERENCE, 2012 - MILCOM 2012
Conference_Location :
Orlando, FL
ISSN :
2155-7578
Print_ISBN :
978-1-4673-1729-0
Type :
conf
DOI :
10.1109/MILCOM.2012.6415822
Filename :
6415822
Link To Document :
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