Camara, Fanta (Accepted: 2023) A Text Mining Analysis of Digital Twins for HRI. In: 6th International Workshop on Virtual, Augmented, and Mixed-Reality for Human-Robot Interactions at ACM/IEEE Human-Robot Interaction (HRI) 2023 (proceedings). 6th International Workshop on Virtual, Augmented, and Mixed-Reality for Human-Robot Interactions at ACM/IEEE Human-Robot Interaction (HRI) 2023, 13 Mar 2023 ACM , SWE (In Press)
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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 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 |
Dates: |
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Institution: | The University of York |
Depositing User: | Pure (York) |
Date Deposited: | 22 Mar 2023 13:40 |
Last Modified: | 09 Apr 2025 23:47 |
Published Version: | https://doi.org/10.1145/1122445.1122456 |
Status: | In Press |
Publisher: | ACM |
Identification Number: | 10.1145/1122445.1122456 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:197585 |
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