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What, Where and How? Introducing pose manifolds for industrial object manipulation

dc.contributor.authorKouskouridas, R.
dc.contributor.authorAmanatiadis, A.
dc.contributor.authorChatzichristofis, Savvas A.
dc.contributor.authorGasteratos, A.
dc.date.accessioned2017-10-24T10:43:20Z
dc.date.available2017-10-24T10:43:20Z
dc.date.issued2015
dc.identifier.issn0957-4174
dc.identifier.urihttp://hdl.handle.net/11728/10142
dc.description.abstractIn this paper we propose a novel method for object grasping that aims to unify robot vision techniques for 24 efficiently accomplishing the demanding task of autonomous object manipulation. Through ontological 25 concepts, we establish three mutually complementary processes that lead to an integrated grasping sys- 26 tem able to answer conjunctive queries such as ‘‘What’’, ‘‘Where’’ and ‘‘How’’? For each query, the appro- 27 priate module provides the necessary output based on ontological formalities. The ‘‘What’’ is handled by a 28 state of the art object recognition framework. A novel 6 DoF object pose estimation technique, which 29 entails a bunch-based architecture and a manifold modeling method, answers the ‘‘Where’’. Last, 30 ‘‘How’’ is addressed by an ontology-based semantic categorization enabling the sufficient mapping 31 between visual stimuli and motor commands.en_UK
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.relation.ispartofseriesExpert Systems with Applications;Volume 42, Issue 21
dc.rights© 2015 Published by Elsevier Ltd.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.subjectObject graspingen_UK
dc.subjectObject recognitionen_UK
dc.subjectPose estimationen_UK
dc.subjectOntology-based semantic categorizationen_UK
dc.titleWhat, Where and How? Introducing pose manifolds for industrial object manipulationen_UK
dc.typeArticleen_UK
dc.doihttps://doi.org/10.1016/j.eswa.2015.06.039en_UK


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© 2015 Published by Elsevier Ltd.
Except where otherwise noted, this item's license is described as © 2015 Published by Elsevier Ltd.