Cited 1 time in
Low-Cost Design and Fabrication of an Anthropomorphic Robotic Hand
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bin Junaid, Ali | - |
| dc.contributor.author | Tahir, Sanan | - |
| dc.contributor.author | Rasheed, Tahir | - |
| dc.contributor.author | Ahmed, Sharjeel | - |
| dc.contributor.author | Sohail, Mehreen | - |
| dc.contributor.author | Afzal, Muhammad Raheel | - |
| dc.contributor.author | Ali, Muzaffar | - |
| dc.contributor.author | Kim, Yoonsoo | - |
| dc.date.accessioned | 2022-12-26T23:01:43Z | - |
| dc.date.available | 2022-12-26T23:01:43Z | - |
| dc.date.issued | 2014-10 | - |
| dc.identifier.issn | 1533-4880 | - |
| dc.identifier.issn | 1533-4899 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/18767 | - |
| dc.description.abstract | Human hand signifies a magnificent and challenging example for scientists and engineers trying to replicate its complex structure and functionality. This paper proposes a bio-mechatronic approach for the design of an anthropomorphic artificial hand capable of performing basic human hand motions with fundamental gripping functionality. The dexterity of the artificial hand is exhibited by imitating the natural motion of the human fingers. Imitation is produced according to the data acquired from the flex sensors attached to the human fingers. In order to have proper gripping, closed-loop control is implemented using the tactile sensors. Feedback for the closed-loop control is provided by force sensing resistors (FSRs), attached on the fingertips of the robotic hand. These sensors also enable handling of fragile objects. The mathematical model is derived using forward kinematics and also simulated on MATLAB (R) to ascertain the position of robotic fingers in 3D space. | - |
| dc.format.extent | 5 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | AMER SCIENTIFIC PUBLISHERS | - |
| dc.title | Low-Cost Design and Fabrication of an Anthropomorphic Robotic Hand | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1166/jnn.2014.9558 | - |
| dc.identifier.scopusid | 2-s2.0-84907482276 | - |
| dc.identifier.wosid | 000336494500009 | - |
| dc.identifier.bibliographicCitation | JOURNAL OF NANOSCIENCE AND NANOTECHNOLOGY, v.14, no.10, pp 7427 - 7431 | - |
| dc.citation.title | JOURNAL OF NANOSCIENCE AND NANOTECHNOLOGY | - |
| dc.citation.volume | 14 | - |
| dc.citation.number | 10 | - |
| dc.citation.startPage | 7427 | - |
| dc.citation.endPage | 7431 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | sci | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Chemistry | - |
| dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
| dc.relation.journalResearchArea | Materials Science | - |
| dc.relation.journalResearchArea | Physics | - |
| dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
| dc.relation.journalWebOfScienceCategory | Nanoscience & Nanotechnology | - |
| dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
| dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
| dc.relation.journalWebOfScienceCategory | Physics, Condensed Matter | - |
| dc.subject.keywordAuthor | Imitation | - |
| dc.subject.keywordAuthor | Dexterity | - |
| dc.subject.keywordAuthor | Gripping | - |
| dc.subject.keywordAuthor | Bio-Mechatronic | - |
| dc.subject.keywordAuthor | Artificial Hand | - |
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