Digital twins for human-assistive robot teams in ambient assisted living

Chen, Jialin; Clos, Jeremie; Price, Dominic; Caleb-Solly, Praminda

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.

Citation

Chen, J., Clos, J., Price, D., & Caleb-Solly, P. (2023, July). Digital twins for human-assistive robot teams in ambient assisted living. Presented at TAS '23: First International Symposium on Trustworthy Autonomous Systems, Edinburgh, UK

• Presentation Conference Type: Conference Paper (published)
• Conference Name: TAS '23: First International Symposium on Trustworthy Autonomous Systems
• Start Date: Jul 11, 2023
• End Date: Jul 12, 2023
• Acceptance Date: Jul 11, 2023
• Online Publication Date: Jul 11, 2023
• Publication Date: Jul 11, 2023
• Deposit Date: Sep 27, 2023
• Publisher: Association for Computing Machinery (ACM)
• Book Title: TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems
• ISBN: 9798400707346
• DOI: https://doi.org/10.1145/3597512.3597520
• Public URL: https://nottingham-repository.worktribe.com/output/22726646
• Publisher URL: https://dl.acm.org/doi/10.1145/3597512.3597520