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dc.contributor.authorGorges, Nicolas*
dc.date.accessioned2021-02-11T15:07:50Z
dc.date.available2021-02-11T15:07:50Z
dc.date.issued2012*
dc.date.submitted2019-07-30 20:02:02*
dc.identifier35684*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/49111
dc.description.abstractThe focus of this work is on the analysis of haptic sensor data acquired by a humanoid robot for shape-based object classification. The central theme is the examination of different approaches for the fusion of haptic sensor data in order to distinguish objects roughly with a few or in detail with several samples. A part of the presented system is an attention space with provide a strategy for an active object classification.*
dc.languageGerman*
dc.subjectQA75.5-76.95*
dc.subject.otherTaktile Sensoren*
dc.subject.otherHumanoider Roboter*
dc.subject.otherAbtaststrategie*
dc.subject.otherObjekterkennung*
dc.subject.otherHaptische Exploration*
dc.titleHaptische Objekterkennung mit einer humanoiden Roboterhand*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000035928*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731500728*
oapen.pagesVII, 241 p.*


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Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/