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11 - Computer Science and Informatics

Brunel University London

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Article title

A robust extended H∞ filtering approach to multi-robot cooperative localization in dynamic indoor environments

Type

D - Journal article

DOI

10.1016/j.conengprac.2013.02.006

Title of journal

Control Engineering Practice

Article number

Volume number

Issue number

First page of article

953

ISSN of journal

0967-0661

Year of publication

2013

URL

http://www.sciencedirect.com/science/article/pii/S0967066113000245/pdfft?md5=d9ee9fb011532cdc2cbefe3742c722f5&pid=1-s2.0-S0967066113000245-main.pdf

Number of additional authors

Additional information

<22> Multi-robot cooperative localization is extremely challenging and we propose a novel algorithm for localisation tasks within an unknown environment. The originality lies in its ability to increase the reliability of robot localisation based on the 'laser data interactions' paradigm, even in dynamic environments. The algorithm has been found to perform better than conventional ones, and offers a potential alternative on the development of mobile technology.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract