Leolani: A robot that communicates and learns about the shared world

Piek Vossen, Selene Baez, Lenka Bajčetić, Suzana Bašić, Bram Kraaijeveld

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

People and robots make mistakes and should therefore recognize and communicate about their “imperfectness” when they collaborate. In previous work [3, 2], we described a female robot model Leolani(L) that supports open-domain learning through natural language communication, having a drive to learn new information and build social relationships. The absorbed knowledge consists of everything people tell her and the situations and objects she perceives. For this demo, we focus on the symbolic representation of the resulting knowledge. We describe how L can query and reason over her knowledge and experiences as well as access the Semantic Web. As such, we envision L to become a semantic agent which people could naturally interact with.1.

Original languageEnglish
Title of host publicationISWC 2019 Satellites
Subtitle of host publicationProceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 26-30, 2019
EditorsMari Carmen Suárez-Figueroa, Gong Cheng, Anna Lisa Gentile, Christophe Guéret, Maria Keet, Abraham Bernstein
PublisherCEUR-WS
Pages181-184
Number of pages4
Publication statusPublished - Oct 2019
Event2019 ISWC Satellite Tracks (Posters and Demonstrations, Industry, and Outrageous Ideas), ISWC 2019-Satellites - Auckland, New Zealand
Duration: 26 Oct 201930 Oct 2019

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR Workshop Proceedings
Volume2456
ISSN (Print)1613-0073

Conference

Conference2019 ISWC Satellite Tracks (Posters and Demonstrations, Industry, and Outrageous Ideas), ISWC 2019-Satellites
CountryNew Zealand
CityAuckland
Period26/10/1930/10/19

Keywords

  • Communication
  • Knowledge representation
  • Ontology learning
  • Robot

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