Logo des Repositoriums
 

Assisting Service Robots on their Journey to become Autonomous Agents: From Apprentice to Master by Participatory Observation

dc.contributor.authorGolchinfar, David
dc.contributor.authorVaziri, Daryoush
dc.contributor.authorStevens, Gunnar
dc.contributor.authorSchreiber, Dirk
dc.contributor.editorAlt, Florian
dc.contributor.editorBulling, Andreas
dc.contributor.editorDöring, Tanja
dc.date.accessioned2019-08-22T04:36:26Z
dc.date.available2019-08-22T04:36:26Z
dc.date.issued2019
dc.description.abstractNatural and reliable application of service robots (SR) in service domains, for instance health service or elderly care, is currently not possible and full autonomy and automatization of SR is still in far distance. Hence, methodologies are needed that promote human-robot collaboration and allow the robot to learn from its human mentor to become more autonomous and reliable. This demo illustrates an environment for such human-robot collaboration that provides an infrastructure for SR manipulation and teaching. The basic idea is that the robot becomes an apprentice that learns new skills by observing a trained human mentor that performs relevant tasks in the service domain by operating the robot. By observation and collaboration, the SR gradually becomes more autonomous and capable to carry out relevant healthcare tasks.en
dc.description.urihttps://dl.acm.org/authorize?N681350
dc.identifier.doi10.1145/3340764.3345374
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/24554
dc.language.isoen
dc.publisherACM
dc.relation.ispartofMensch und Computer 2019 - Tagungsband
dc.relation.ispartofseriesMensch und Computer
dc.subjectService robot
dc.subjecthealthcare
dc.subjectdesign
dc.subjectautonomous systems
dc.subjectmachine learning
dc.subjectevolutionary development
dc.titleAssisting Service Robots on their Journey to become Autonomous Agents: From Apprentice to Master by Participatory Observationen
dc.typeText/Conference Paper
gi.citation.publisherPlaceNew York
gi.conference.date8.-11. September 2019
gi.conference.locationHamburg
gi.conference.sessiontitleMCI: Interactive Demos
gi.document.qualitydigidoc

Dateien