Assisted Living

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Mobile robots, working in conjunction with smart sensors, offer proactive initiative to prompt and support a person wherever they are, offering increased availability, awareness and access, as compared to a static system.

A robot as the interface also has the potential to offer a more social and entertaining interaction experience. The use of voice and gesture recognition, speech synthesis and sensor information from ambient intelligent environments and smart garments, enable a robotic assistive system to offer more natural interactions.

The Robotic Ambient Assisted Living Studio

At the BRL, the Robotic Ambient Assisted Living Studio is an in-house facility to develop, test and implement assistive robots and heterogeneous sensor systems in a realistic environment, bringing together our expertise in robotics, human-robot interaction, intelligent learning systems and user-centred design. This helps to ensure real-world applicability of our research.


MOBISERV – FP7 248434

An Integrated Intelligent Home Environment for the Provision of Health, Nutrition and Mobility Services to Older Adults

We are working with a European team of universities, research institutes, commercial companies and care organisations, on a new type of helper: a robot assistant for older adults. Integrated together with smart garments and vision systems, this social robot works in partnership with them, reminding them about eating, drinking and medicines, offering structure throughout the day, and helping people stay fit by suggesting a variety of activities. The main goal of the MOBISERV project is not only to keep people independent and boost their quality of life, but also to support and empower their social carer, often a partner, in providing care. For more details visit the MOBISERV page.

SAM – Self-help for Anxiety Management

Developed as a mobile app, this app has been designed to help people manage and monitor their anxiety. It is a contribution to the university’s support for the student experience at UWE.

We are currently considering the potential of delivering these self-help services via a mobile robot that can learn and sense a person’s anxiety levels from their physiological data and behaviour in different contexts and environments. For more details visit the SAM page.

Other related projects

MOET: Manipulation of Objects for the Extraction of Text

Robotic rehabilitation for the restoration of hand motor function following stroke

Page last updated 20 June 2014