School of Computer Science


Research Summary

Digital Twins for Human-Assistive Robot Teams in Ambient Assisted Living

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. The focus is on making existing walking aids intelligent, incorporating robotics technologies, so that they can adapt to users changing needs. Our objective is to first construct and utilize human biomechanical models of people using assistive mobility devices, such as a rollator, and apply machine learning for recognition of impaired mobility, simulating edge scenarios, and understanding how best to adapt to human and environment changes 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 and adaptability of assistive robots in the real world.

School of Computer Science

University of Nottingham
Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB

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