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

Autor(en):
Golchinfar, David [DBLP] ;
Vaziri, Daryoush [DBLP] ;
Stevens, Gunnar [DBLP] ;
Schreiber, Dirk [DBLP]
Zusammenfassung
Natural 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.
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Golchinfar, D., Vaziri, D., Stevens, G. & Schreiber, D., (2019). Assisting Service Robots on their Journey to become Autonomous Agents: From Apprentice to Master by Participatory Observation. In: Alt, F., Bulling, A. & Döring, T. (Hrsg.), Mensch und Computer 2019 - Tagungsband. New York: ACM. DOI: 10.1145/3340764.3345374
@inproceedings{mci/Golchinfar2019,
author = {Golchinfar, David AND Vaziri, Daryoush AND Stevens, Gunnar AND Schreiber, Dirk},
title = {Assisting Service Robots on their Journey to become Autonomous Agents: From Apprentice to Master by Participatory Observation},
booktitle = {Mensch und Computer 2019 - Tagungsband},
year = {2019},
editor = {Alt, Florian AND Bulling, Andreas AND Döring, Tanja} ,
doi = { 10.1145/3340764.3345374 },
publisher = {ACM},
address = {New York}
}

Weitere Information zum Dokument oder der Volltext des Dokuments sind auf einem externen Server verfuegbar: https://dl.acm.org/authorize?N681350

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Mehr Information

DOI: 10.1145/3340764.3345374
Datum: 2019
Sprache: en (en)
Typ: Text/Conference Paper

Keywords

  • Service robot
  • healthcare
  • design
  • autonomous systems
  • machine learning
  • evolutionary development
Sammlungen
  • Tagungsband MuC 2019 [134]

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Über uns | FAQ | Hilfe | Impressum | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.