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dc.contributor.authorBillington, Daviden_US
dc.contributor.authorEstivill-Castro, Vladimiren_US
dc.contributor.authorHexel, Reneen_US
dc.contributor.authorRock, Andrewen_US
dc.contributor.editorGerhard Lakemeyer, Elizabeth Sklar, Domenico G. Sorrenti, Tomoichi Takahashien_US
dc.date.accessioned2017-05-03T11:27:41Z
dc.date.available2017-05-03T11:27:41Z
dc.date.issued2007en_US
dc.date.modified2008-10-23T06:41:44Z
dc.identifier.refurihttp://www.springer.com/east/home/generic/search/results?SGWID=5-40109-22-173752108-0en_AU
dc.identifier.urihttp://hdl.handle.net/10072/17084
dc.description.abstractSymbolic reasoning has rarely been applied to filter sensor information; and for data fusion, probabilistic models are favoured over reasoning with logic models. However, we show that in the fast dynamic environment of robotic soccer, Plausible Logic can be used effectively to deploy non-monotonic reasoning. We show this is also possible within the frame rate of vision in the (not so powerful) hardware of the AIBO ERS-7 used in the legged league. The non-monotonic reasoning with Plausible Logic not only has algorithmic completion guarantees but we show that it effectively filters the visual input for improved robot localisation. Moreover, we show that reasoning using Plausible Logic is not restricted to the traditional value domain of discerning about objects in one frame. We present a model to draw conclusions over consecutive frames and illustrate that adding temporal rules can further enhance the reliability of localisation.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherSpringer-Verlagen_US
dc.publisher.placeBerlin, Germanyen_US
dc.publisher.urihttp://www.springer.com/computer/artificial/book/978-3-540-74023-0en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameThe 10th RoboCup International Symposiumen_US
dc.relation.ispartofconferencetitleRoboCup 2006: Robot Soccer World Cup Xen_US
dc.relation.ispartofdatefrom2006-06-19en_US
dc.relation.ispartofdateto2006-06-20en_US
dc.relation.ispartoflocationBremen, Germanyen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280209en_US
dc.titleUsing Temporal Consistency to Improve Robot Localisationen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.date.issued2007
gro.hasfulltextNo Full Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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