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Enhancing Social Human-Robot Interaction with Deep Reinforcement Learning.
Örebro universitet, Institutionen för naturvetenskap och teknik.ORCID iD: 0000-0001-6168-0706
Örebro universitet, Institutionen för naturvetenskap och teknik.ORCID iD: 0000-0002-0305-3728
Örebro universitet, Institutionen för naturvetenskap och teknik.ORCID iD: 0000-0002-4368-4751
Örebro universitet, Institutionen för naturvetenskap och teknik.ORCID iD: 0000-0002-3122-693X
2018 (English)In: Proc. FAIM/ISCA Workshop on Artificial Intelligence for Multimodal Human Robot Interaction, 2018, MHRI , 2018, p. 48-50Conference paper, Published paper (Refereed)
Abstract [en]

This research aims to develop an autonomous social robot for elderly individuals. The robot will learn from the interaction and change its behaviors in order to enhance the interaction and improve the user experience. For this purpose, we aim to use Deep Reinforcement Learning. The robot will observe the user’s verbal and nonverbal social cues by using its camera and microphone, the reward will be positive valence and engagement of the user.

Place, publisher, year, edition, pages
MHRI , 2018. p. 48-50
National Category
Robotics
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:mdh:diva-43376DOI: 10.21437/AI-MHRI.2018-12OAI: oai:DiVA.org:mdh-43376DiVA, id: diva2:1314720
Conference
FAIM/ISCA Workshop on Artificial Intelligence for Multimodal Human Robot Interaction (AI-MHRI), Stockholm, Sweden 14-15 July, 2018
Projects
SOCRATESAvailable from: 2019-05-09 Created: 2019-05-09 Last updated: 2019-05-09Bibliographically approved

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No full text in DiVA

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Publisher's full texthttp://oru.diva-portal.org/smash/get/diva2:1244845/FULLTEXT01.pdf

Authority records BETA

Akalin, NezihaKiselev, AndreyKristoffersson, AnnicaLoutfi, Amy

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Total: 97 hits
CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf