How Assistive Robots and AI Can Change the Dynamics of Supporting Healthy Ageing and Social Care

Assistive robots and AI offer the potential to transform people's ability to manage their own health, particularly those with the greatest need and lack of adequate support.

This presentation introduces Professor Caleb-Solly’s ongoing exploration of how connecting robots with different types of sensors can provide real-time information to not only support self-management, but also facilitate timely preventative interventions. These technologies are disruptive and will lead to new models of care. To ensure that assistive robots are functionally competent, safe, and robust enough to be deployed at scale, a co-design approach was adopted in this research, including the use of a participatory approach to explore the ethical, legal, social, and organisational aspects and ensure that the use of assistive robots is indeed effective and empathetic. Recent advances in the field of assistive robotics and AI will be discussed alongside the challenges and approaches for designing assistive robots that add value to our lives. An overview of research findings from the EPSRC Healthcare Technologies Network+ project Emergence will also be introduced, an effort to create a sustainable healthcare robotics eco-system which connects researchers, industry, and healthcare providers, in order to build the infrastructure and systems to drive healthcare robotics research and development to support people living with frailty.

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Professor Praminda Caleb-Solly (University of Nottingham, United Kingdom) speaks at the joint conferences on Education (ECE2024), Language Learning, (ECLL2024), Arts & Humanities (ECAH2024), and Aging & Gerontology (EGen2024) in London, United Kingdom.

The European Conference on Education (ECE2024)
https://ece.iafor.org

The European Conference on Language Learning (ECLL2024)
https://ecll.iafor.org

The European Conference on Arts & Humanities (ECAH2024)
https://ecah.iafor.org

The European Conference on Aging & Gerontology (EGen2024)
https://egen.iafor.org

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