A Text Mining Analysis of Digital Twins for HRI

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The interest for digital twins has kept rising over the recent years. With potential applications in different sectors, digital twins, like other robotic and autonomous systems, will have to interact with humans and in many cases collaborate with them. The present paper is a work in progress and applies text mining techniques to explore the use of digital twins for human-robot interaction scenarios.
Original languageEnglish
Title of host publication6th International Workshop on Virtual, Augmented, and Mixed-Reality for Human-Robot Interactions at ACM/IEEE Human-Robot Interaction (HRI) 2023 (proceedings)
PublisherACM
Number of pages5
DOIs
Publication statusAccepted/In press - 26 Feb 2023
Event6th International Workshop on Virtual, Augmented, and Mixed-Reality for Human-Robot Interactions at ACM/IEEE Human-Robot Interaction (HRI) 2023 - Stockholm, Sweden
Duration: 13 Mar 202313 Mar 2023
https://vam-hri.github.io/

Workshop

Workshop6th International Workshop on Virtual, Augmented, and Mixed-Reality for Human-Robot Interactions at ACM/IEEE Human-Robot Interaction (HRI) 2023
Country/TerritorySweden
CityStockholm
Period13/03/2313/03/23
Internet address

Bibliographical note

© 2023 Association for Computing Machinery. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details

Keywords

  • Digital Twins
  • Human-Robot Interaction
  • Text Mining

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