Design of a kinematically redundant Schönflies-motion generator with auxiliary grasping task
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kang, Long | - |
dc.contributor.author | Lee, Sungon | - |
dc.contributor.author | Kim, Wheekuk | - |
dc.contributor.author | Yi, Byung ju | - |
dc.date.accessioned | 2021-06-22T18:22:42Z | - |
dc.date.available | 2021-06-22T18:22:42Z | - |
dc.date.issued | 2016-10 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/16013 | - |
dc.description.abstract | This paper introduces a novel kinematically redundant five-degree-of-freedom (DOF) parallel mechanism (PM) which can be fully gravity balanced. The kinematic redundancy can be used to generate large rotational workspace or perform auxiliary grasping task. The grasping task is selected as an example to be investigated in this work. Firstly, description of structure and principle of gravity balancing are introduced. Secondly, closed-form inverse and forward kinematic models are presented in detail. Thirdly, an example trajectory that includes the auxiliary grasping task is demonstrated using a commercially available multi-body dynamic simulator. Analysis results show that the proposed PM has quite a few potential applications. © 2016 IEEE. | - |
dc.format.extent | 4 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Design of a kinematically redundant Schönflies-motion generator with auxiliary grasping task | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1109/URAI.2016.7734042 | - |
dc.identifier.scopusid | 2-s2.0-85000608396 | - |
dc.identifier.wosid | 000387249900035 | - |
dc.identifier.bibliographicCitation | 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016, v.2016, pp 144 - 147 | - |
dc.citation.title | 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016 | - |
dc.citation.volume | 2016 | - |
dc.citation.startPage | 144 | - |
dc.citation.endPage | 147 | - |
dc.type.docType | Conference Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Robotics | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Robotics | - |
dc.subject.keywordPlus | Artificial intelligence | - |
dc.subject.keywordPlus | Degrees of freedom (mechanics) | - |
dc.subject.keywordPlus | Kinematics | - |
dc.subject.keywordPlus | Mechanisms | - |
dc.subject.keywordPlus | Redundancy | - |
dc.subject.keywordPlus | Redundant manipulators | - |
dc.subject.keywordPlus | Degree of freedom (dof) | - |
dc.subject.keywordPlus | Forward kinematics | - |
dc.subject.keywordPlus | Grasping | - |
dc.subject.keywordPlus | Gravity-balancing | - |
dc.subject.keywordPlus | Kinematic redundancy | - |
dc.subject.keywordPlus | Motion generator | - |
dc.subject.keywordPlus | Multi-body dynamic | - |
dc.subject.keywordPlus | Parallel mechanisms | - |
dc.subject.keywordPlus | Intelligent robots | - |
dc.subject.keywordAuthor | Grasping | - |
dc.subject.keywordAuthor | Gravity balancing | - |
dc.subject.keywordAuthor | Kinematic redundancy | - |
dc.subject.keywordAuthor | Parallel mechanisms | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/7734042 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.