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Contextualized Knowledge Graph Embeddings for Activity Prediction in Service Robotics
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0003-3338-1455
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0002-1733-7019
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0002-2212-4325
2023 (English)Conference paper, Oral presentation only (Refereed)
Place, publisher, year, edition, pages
2023.
National Category
Robotics and automation
Identifiers
URN: urn:nbn:se:kth:diva-324724OAI: oai:DiVA.org:kth-324724DiVA, id: diva2:1743092
Conference
Workshop on Semantic Scene Understanding for Human-Robot Interaction, ACM/IEEE International Conference on Human Robot Interaction
Note

QC 20230314

Available from: 2023-03-13 Created: 2023-03-13 Last updated: 2025-02-09Bibliographically approved

Open Access in DiVA

fulltext(126 kB)256 downloads
File information
File name FULLTEXT01.pdfFile size 126 kBChecksum SHA-512
8aac4191e9f35d956a97f818028bfcff8a755b1f288e43d14268581cd0fc7843e354b06c2ec20f47c7fdbbef7525dadc9629de98b0b9e1f1569e9fa373b542b5
Type fulltextMimetype application/pdf

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Bartoli, ErmannoDogan, Fethiye IrmakLeite, Iolanda

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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