Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

센서리스 협동로봇의 직관적인 교시를 위한 직교공간 직접교시

Full metadata record
DC Field Value Language
dc.contributor.author안국현-
dc.contributor.author송재복-
dc.date.accessioned2021-09-02T00:34:37Z-
dc.date.available2021-09-02T00:34:37Z-
dc.date.created2021-06-17-
dc.date.issued2019-
dc.identifier.issn1975-6291-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/70235-
dc.description.abstractDirect teaching is an essential function for collaborative robots for easy use by non-experts. For most robots, direct teaching is implemented only in joint space because the realization of Cartesian space direct teaching, in which the orientation of the end-effector is fixed while teaching, requires a measurement of the end-effector force. Thus, it is limited to the robots that are equipped with an expensive force/torque sensor. This study presents a Cartesian space direct teaching method for torque-controlled collaborative robots without either a force/torque sensor or joint torque sensors. The force exerted to the end-effector is obtained from the external torque which is estimated by the disturbance observer-based approach with the friction model. The friction model and the estimated end-effector force were experimentally verified using the robot equipped with joint torque sensors in order to compare the proposed sensorless approach with the method using torque sensors.-
dc.languageKorean-
dc.language.isoko-
dc.publisher한국로봇학회-
dc.title센서리스 협동로봇의 직관적인 교시를 위한 직교공간 직접교시-
dc.title.alternativeCartesian Space Direct Teaching for Intuitive Teaching of a Sensorless Collaborative Robot-
dc.typeArticle-
dc.contributor.affiliatedAuthor송재복-
dc.identifier.doi10.7746/jkros.2019.14.4.311-
dc.identifier.bibliographicCitation로봇학회 논문지, v.14, no.4, pp.311 - 317-
dc.relation.isPartOf로봇학회 논문지-
dc.citation.title로봇학회 논문지-
dc.citation.volume14-
dc.citation.number4-
dc.citation.startPage311-
dc.citation.endPage317-
dc.type.rimsART-
dc.identifier.kciidART002525015-
dc.description.journalClass2-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorCollaborative Robot-
dc.subject.keywordAuthorImpedance Control-
dc.subject.keywordAuthorHuman-Robot Interaction-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Mechanical Engineering > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Song, Jae Bok photo

Song, Jae Bok
공과대학 (기계공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE