Digital Twins for Human Assistive Robot Teams
Previous research has identified difficulties in testing assistive robotics technologies with patients in realistic contexts, as well as a lack of relevant safety standards and regulations for assistive robots for use in health and social carei, particularly those being designed to support vulnerable end-users. Assistive robots for people with long-term conditions or aging-related impairments need to adapt as conditions and impairments change.
To ensure adoption of these technologies, care professionals and regulatory bodies need assurance of system safety, in particular, trust in the autonomous system that learnt behaviours will remain clinically efficacious. This is hard to prove and realise, as testing would need to happen with a diverse range of vulnerable people, over an extended duration, and in different use-contexts.
University of Nottingham: Dominic Price, Praminda Caleb-Solly, Donal McNally
University of York: Xinwei Fang, Sinem Getir Yaman, Radu Calinescu
Heriot-Watt University: Mauro Dragone