Full metadata record

DC Field Value Language
dc.contributor.authorKim, Hyoungnyoun-
dc.contributor.authorHan, Inkyu-
dc.contributor.authorYou, Bum-Jae-
dc.contributor.authorPark, Ji-Hyung-
dc.date.accessioned2024-01-20T16:34:48Z-
dc.date.available2024-01-20T16:34:48Z-
dc.date.created2021-09-05-
dc.date.issued2011-07-
dc.identifier.issn1861-2776-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/130205-
dc.description.abstractThis paper describes an intuitive approach for a cognitive grasp of a robot. The cognitive grasp means the chain of processes that make a robot to learn and execute a grasping method for unknown objects like a human. In the learning step, a robot looks around a target object to estimate the 3D shape and understands the grasp type for the object through a human demonstration. In the execution step, the robot correlates an unknown object to one of known grasp types by comparing the shape similarity of the target object based on previously learned models. For this cognitive grasp, we mainly deal with two functionalities such as reconstructing an unknown 3D object and classifying the object by grasp types. In the experiment, we evaluate the performance of object classification according to the grasp types for 20 objects via human demonstration.-
dc.languageEnglish-
dc.publisherSPRINGER HEIDELBERG-
dc.titleTowards cognitive grasping: modeling of unknown objects and its corresponding grasp types-
dc.typeArticle-
dc.identifier.doi10.1007/s11370-011-0088-5-
dc.description.journalClass1-
dc.identifier.bibliographicCitationINTELLIGENT SERVICE ROBOTICS, v.4, no.3, pp.159 - 166-
dc.citation.titleINTELLIGENT SERVICE ROBOTICS-
dc.citation.volume4-
dc.citation.number3-
dc.citation.startPage159-
dc.citation.endPage166-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000510891900001-
dc.identifier.scopusid2-s2.0-79960103505-
dc.relation.journalWebOfScienceCategoryRobotics-
dc.relation.journalResearchAreaRobotics-
dc.type.docTypeArticle-
dc.subject.keywordAuthorRobotic grasp-
dc.subject.keywordAuthor3D object modeling-
dc.subject.keywordAuthorGrasp types-
dc.subject.keywordAuthorObject classification-
dc.subject.keywordAuthorHuman demonstration-
Appears in Collections:
KIST Article > 2011
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE