Cited By
View all- Lauer-Schmaltz MCash PRivera D(2024)ETHICA: Designing Human Digital Twins—A Systematic Review and Proposed MethodologyIEEE Access10.1109/ACCESS.2024.341651712(86947-86973)Online publication date: 2024
Digital twins for human-assistive robot teams in ambient assisted living
Article No.: 38, Pages 1 - 5
Abstract
Digital twins are virtual replicas of physical systems that simulate real-world scenarios to optimize system performance, reduce physical losses, and ensure user safety. Although digital twins have been widely adopted in industrial settings, there is a lack of research on digital twins in everyday life scenarios. This report presents research aimed at developing a human-assistive robot interaction digital twin system. Our objective is to construct and utilize human biomechanical models of people using assistive devices and apply machine learning for recognition of impaired mobility, simulating edge scenarios to ensure the safety of human-assistive robot interaction prior to actual deployment. This research contributes to the advancement of digital twin technology to enhance the safety of assistive robots in the real-world.
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Published In
July 2023
426 pages
ISBN:9798400707346
DOI:10.1145/3597512
Copyright © 2023 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 11 July 2023
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- Extended-abstract
- Research
- Refereed limited
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TAS '23
TAS '23: First International Symposium on Trustworthy Autonomous Systems
July 11 - 12, 2023
Edinburgh, United Kingdom
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View all- Lauer-Schmaltz MCash PRivera D(2024)ETHICA: Designing Human Digital Twins—A Systematic Review and Proposed MethodologyIEEE Access10.1109/ACCESS.2024.341651712(86947-86973)Online publication date: 2024
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