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dc.contributor.authorKang, Seunghyun-
dc.contributor.authorLee, Jin hwi-
dc.contributor.author서태원-
dc.contributor.authorKim, Chang Hwan-
dc.date.accessioned2024-01-12T03:42:18Z-
dc.date.available2024-01-12T03:42:18Z-
dc.date.created2022-11-29-
dc.date.issued2022-05-12-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/77212-
dc.description.abstractThis paper presents a method to determine a grasp pose for object manipulation considering the configurations of robot. In such environments as shelves, a vision system and algorithm usually give an object’s information and multiple grasping plans. The grasping plan can also be given in a range of angle, but other objects may partially block the angle range. However, it is necessary to determine an angle range with a direction vector to control the manipulator, where a gripper can approach the target object. For this, we find a collision-free angle range by employing the modified Vector Field Histogram+ and determine an approaching angle that maximizes suggested manipulability to the target object. From the simulation results, the proposed method showed maximum 54% less planning attempts to determine a grasp pose and a approaching angle in clutter than others so that it could reduce the subtasks to search possible grasp poses mean by 36%.-
dc.languageKorean-
dc.publisher한국로봇학회-
dc.titleManipulability 안에서의 방향벡터를 이용한 물체 파지 결정 방법-
dc.title.alternativeDetermining a Grasp Pose Using a Direction Vector in Manipulability Ellipsoid-
dc.typeConference-
dc.description.journalClass2-
dc.identifier.bibliographicCitation제17회 한국로봇종합학술대회-
dc.citation.title제17회 한국로봇종합학술대회-
dc.citation.conferencePlaceKO-
dc.citation.conferencePlace강원도-
dc.citation.conferenceDate2022-05-11-
dc.relation.isPartOf제17회 한국로봇종합학술대회 논문집-
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