Detailed Information

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

Reinforcement Learning-based Sim-to-Real Impedance Parameter Tuning for Robotic Assembly

Full metadata record
DC Field Value Language
dc.contributor.authorJae-Bok Song-
dc.date.accessioned2021-12-05T11:42:30Z-
dc.date.available2021-12-05T11:42:30Z-
dc.date.created2021-11-25-
dc.date.issued2021-10-13-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/129602-
dc.publisherICROS-
dc.titleReinforcement Learning-based Sim-to-Real Impedance Parameter Tuning for Robotic Assembly-
dc.title.alternativeReinforcement Learning-based Sim-to-Real Impedance Parameter Tuning for Robotic Assembly-
dc.typeConference-
dc.contributor.affiliatedAuthorJae-Bok Song-
dc.identifier.bibliographicCitation2021 The 21st Int. Conf. on Control, Automation and Systems, pp.833 - 836-
dc.relation.isPartOf2021 The 21st Int. Conf. on Control, Automation and Systems-
dc.relation.isPartOfProc, oif 2021 The 21st Int. Conf. on Control, Automation and Systems-
dc.citation.title2021 The 21st Int. Conf. on Control, Automation and Systems-
dc.citation.startPage833-
dc.citation.endPage836-
dc.citation.conferencePlaceKO-
dc.citation.conferenceDate2021-10-12-
dc.type.rimsCONF-
dc.description.journalClass1-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Mechanical Engineering > 2. Conference Papers

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