oru.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
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
Culturally aware Planning and Execution of Robot Actions
Örebro University, School of Science and Technology. (AASS)
Örebro University, School of Science and Technology. (AASS)
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-9652-7864
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0001-8229-1363
Show others and affiliations
2018 (English)In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2018, p. 326-332Conference paper, Published paper (Refereed)
Abstract [en]

The way in which humans behave, speak andinteract is deeply influenced by their culture. For example,greeting is done differently in France, in Sweden or in Japan;and the average interpersonal distance changes from onecultural group to the other. In order to successfully coexistwith humans, robots should also adapt their behavior to theculture, customs and manners of the persons they interact with.In this paper, we deal with an important ingredient of culturaladaptation: how to generate robot plans that respect givencultural preferences, and how to execute them in a way thatis sensitive to those preferences. We present initial results inthis direction in the context of the CARESSES project, a jointEU-Japan effort to build culturally competent assistive robots.

Place, publisher, year, edition, pages
IEEE, 2018. p. 326-332
Series
IEEE International Conference on Intelligent Robots and Systems, ISSN 2153-0858, E-ISSN 2153-0866
Keywords [en]
Robotics, automated planning, cultural awareness
National Category
Computer Sciences Computer Vision and Robotics (Autonomous Systems)
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-71980DOI: 10.1109/IROS.2018.8593570ISI: 000458872700030ISBN: 978-1-5386-8094-0 (electronic)ISBN: 978-1-5386-8095-7 (print)OAI: oai:DiVA.org:oru-71980DiVA, id: diva2:1284207
Conference
25th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, October 1-5, 2018
Funder
EU, Horizon 2020, 737858
Note

Funding Agency:

Ministry of Internal Affairs and Communication of Japan

Available from: 2019-01-31 Created: 2019-01-31 Last updated: 2019-03-14Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Khaliq, Ali AbdulKöckemann, UwePecora, FedericoSaffiotti, Alessandro

Search in DiVA

By author/editor
Khaliq, Ali AbdulKöckemann, UwePecora, FedericoSaffiotti, Alessandro
By organisation
School of Science and Technology
Computer SciencesComputer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 120 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
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