Publication:
An adaptive admittance controller for collaborative drilling with a robot based on subtask classification via deep learning

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dc.contributor.advisorBaşdoğan, Çağatay
dc.contributor.kuauthorNiaz, Pouya Pourakbarian
dc.contributor.programMechanical Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.coverage.spatialİstanbul
dc.date.accessioned2024-11-09T22:07:30Z
dc.date.issued2022
dc.format.extentxi, 54 leaves : illustrations, tables ; 30 cm.
dc.identifier.urihttps://hdl.handle.net/20.500.14288/4912
dc.language.isoeng
dc.publisherKoç University
dc.rightsrestrictedAccess
dc.rights.copyrightsnote© All Rights Reserved. Accessible to Koç University Affiliated Users Only!
dc.subjectDrilling and boring
dc.subjectDrilling and boring machinery
dc.subjectRobotics
dc.subjectRobotics, Human factors
dc.subjectHuman-computer interaction
dc.titleAn adaptive admittance controller for collaborative drilling with a robot based on subtask classification via deep learning
dc.typeThesis
dspace.entity.typePublication
local.contributor.kuauthorNiaz, Pouya Pourakbarian
relation.isAdvisorOfThesis3296a078-6760-4af8-addd-62500c43ae7a
relation.isAdvisorOfThesis.latestForDiscovery3296a078-6760-4af8-addd-62500c43ae7a
relation.isParentOrgUnitOfPublication434c9663-2b11-4e66-9399-c863e2ebae43
relation.isParentOrgUnitOfPublication.latestForDiscovery434c9663-2b11-4e66-9399-c863e2ebae43

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