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Robust mobile robot localization based on a security laser: An industry case study

dc.contributor.authorSobreira, Héber
dc.contributor.authorMoreira, António Paulo G. M.
dc.contributor.authorCosta, Paulo Gomes da
dc.contributor.authorLima, José
dc.date.accessioned2018-01-31T10:00:00Z
dc.date.accessioned2018-02-01T09:37:58Z
dc.date.available2018-01-31T10:00:00Z
dc.date.available2018-02-01T09:37:58Z
dc.date.issued2016
dc.description.abstractThis paper aims to address a mobile robot localization system that avoids using a dedicated laser scanner, making it possible to reduce implementation costs and the robot's size. The system has enough precision and robustness to meet the requirements of industrial environments. Design/methodology/approach - Using an algorithm for artificial beacon detection combined with a Kalman Filter and an outlier rejection method, it was possible to enhance the precision and robustness of the overall localization system. Findings - Usually, industrial automatic guide vehicles feature two kinds of lasers: one for navigation placed on top of the robot and another for obstacle detection (security lasers). Recently, security lasers extended their output data with obstacle distance (contours) and reflectivity. These new features made it possible to develop a novel localization system based on a security laser. Research limitations/implications - Once the proposed methodology is completely validated, in the future, a scheme for global localization and failure detection should be addressed. Practical implications - This paper presents a comparison between the presented approach and a commercial localization system for industry. The proposed algorithms were tested in an industrial application under realistic working conditions. Social implications - The presented methodology represents a gain in the effective cost of the mobile robot platform, as it discards the need for a dedicated laser for localization purposes. Originality/value - This paper presents a novel approach that benefits from the presence of a security laser on mobile robots (mandatory sensor when considering industrial applications), using it simultaneously with other sensors, not only to guarantee safety conditions during operation but also to locate the robot in the environment. This paper is also valuable because of the comparison made with a commercialized system, as well as the tests conducted in real industrial environments, which prove that the approach presented is suitable for working under these demanding conditions.en_EN
dc.description.sponsorshipProject "TEC4Growth" - Pervasive Intelligence, Enhancers and Proofs of Concept with Industrial Impact/NORTE-01-0145-FEDER-000020" is fnanced by the North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, and through the European Regional Development Fund (ERDF).
dc.description.versioninfo:eu-repo/semantics/publishedVersionen_EN
dc.identifier.citationSobreira, Heber; Moreira, A. Paulo; Costa, Paulo; Lima, José (2016). Robust mobile robot localization based on a security laser: An industry case study. Industrial Robot. ISSN 0143-991X. 43, p. 596-606en_EN
dc.identifier.doi10.1108/IR-01-2016-0026en_EN
dc.identifier.issn0143-991X
dc.identifier.urihttp://hdl.handle.net/10198/15398
dc.language.isoeng
dc.peerreviewedyesen_EN
dc.subjectAGVen_EN
dc.subjectKalman filteren_EN
dc.subjectLocalizationen_EN
dc.subjectMobile robotsen_EN
dc.subjectOutliers rejectionen_EN
dc.subjectSecurity laseren_EN
dc.titleRobust mobile robot localization based on a security laser: An industry case studyen_EN
dc.typejournal article
dspace.entity.typePublication
person.familyNameLima
person.givenNameJosé
person.identifierR-000-8GD
person.identifier.ciencia-id6016-C902-86A9
person.identifier.orcid0000-0001-7902-1207
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id55851941311
rcaap.rightsopenAccessen_EN
rcaap.typearticleen_EN
relation.isAuthorOfPublicationd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isAuthorOfPublication.latestForDiscoveryd88c2b2a-efc2-48ef-b1fd-1145475e0055

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