Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kang, Seunghyun | - |
dc.contributor.author | Lee, Jin hwi | - |
dc.contributor.author | 서태원 | - |
dc.contributor.author | Kim, Chang Hwan | - |
dc.date.accessioned | 2024-01-12T03:42:18Z | - |
dc.date.available | 2024-01-12T03:42:18Z | - |
dc.date.created | 2022-11-29 | - |
dc.date.issued | 2022-05-12 | - |
dc.identifier.uri | https://pubs.kist.re.kr/handle/201004/77212 | - |
dc.description.abstract | This 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.language | Korean | - |
dc.publisher | 한국로봇학회 | - |
dc.title | Manipulability 안에서의 방향벡터를 이용한 물체 파지 결정 방법 | - |
dc.title.alternative | Determining a Grasp Pose Using a Direction Vector in Manipulability Ellipsoid | - |
dc.type | Conference | - |
dc.description.journalClass | 2 | - |
dc.identifier.bibliographicCitation | 제17회 한국로봇종합학술대회 | - |
dc.citation.title | 제17회 한국로봇종합학술대회 | - |
dc.citation.conferencePlace | KO | - |
dc.citation.conferencePlace | 강원도 | - |
dc.citation.conferenceDate | 2022-05-11 | - |
dc.relation.isPartOf | 제17회 한국로봇종합학술대회 논문집 | - |
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