Show simple item record

Vind: a robot self-localization framework

dc.contributor.authorAzpiazu, Jon
dc.contributor.authorBjerkeng, Magnus Christian
dc.contributor.authorTjønnås, Johannes
dc.contributor.authorGrøtli, Esten Ingar
dc.date.accessioned2017-06-02T11:52:40Z
dc.date.available2017-06-02T11:52:40Z
dc.date.created2017-05-30T17:56:39Z
dc.date.issued2016
dc.identifier.citationACM International Conference Proceedings Series Proceedings of the 4th International Conference on Control, Mechatronics and Automation : Barcelona, Spain — December 07 - 11, 2016nb_NO
dc.identifier.isbn9781450352130
dc.identifier.urihttp://hdl.handle.net/11250/2444257
dc.language.isoengnb_NO
dc.relation.ispartofACM International Conference Proceedings Series Proceedings of the 4th International Conference on Control, Mechatronics and Automation
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleVind: a robot self-localization frameworknb_NO
dc.typeChapternb_NO
dc.source.pagenumber1-6nb_NO
dc.identifier.cristin1472917
cristin.unitcode7401,90,23,0
cristin.unitnameAnvendt kybernetikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


Files in this item

Thumbnail
Name:
Azpiazu_VINDARobotSelfLocaliza ...
Size:
1.080Mb
Format:
PDF
View/Open

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal