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MARIO Project Presentation

MARIO Project Presentation. Partners Motivation Objectives Target groups Major milestones Impact Unique selling points. Partners. National University of Ireland, Galway ROBOSOFT RU Robot Ortelio Ltd City of Stockport Consiglio Nazionale delle Ricerche R2M Solution

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MARIO Project Presentation

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  1. MARIO Project Presentation • Partners • Motivation • Objectives • Target groups • Major milestones • Impact • Unique selling points

  2. Partners • National University of Ireland, Galway • ROBOSOFT • RU Robot • Ortelio Ltd • City of Stockport • Consiglio Nazionale delle Ricerche • R2M Solution • Casa Sollievo della Sofferenza Hospital • Caretta-Net • University of Passau

  3. Motivation (Demographic problem) Evolution of the population in the older age groups (65 and older, 65-79, 80 and older), 1990, 2010 and 2030 http://www.euro.centre.org/data/LTC_Final.pdf

  4. Motivation (People With Dementia: PWD) 135M 2050 • The number of people in the world with dementia will increase significantly by 2050. • In 2010, the annual cost of dementia care was estimated at $604 billion. If dementia care was a company, it would be the world’s largest by annual revenue. • There will be at least 85% increase in these costs by 2030. 76M 2030 44M 2013 http://www.alz.co.uk/research/statistics

  5. MARIO objectives 1/2 • To address and make progress on the challenging problems of loneliness, isolationand dementiain older persons through multi-faceted interventions delivered by service robots. • To conduct near project length interaction with end users and assisted living environments. • To assist caregivers and physicians in the comprehensive geriatric assessment (CGA)through the use of service robots. • The use of near state of the art robotic platforms that are flexible, modular friendly, low cost and close to market ready.

  6. MARIO objectives 1/2 • To make MARIO capable to support and receive “robot applications” similar to the developer and app community for smartphones. • Through novel advances in machine learning techniques andsemantic analysis methods to make MARIO more personable, useful, and accepted by end users (e.g. gain perception of non-loneliness). • To bring MARIO service robot concepts out of the lab and into industry.

  7. MARIO target groups We connect older persons to 4+ main target groups: • Their communityand social support programs • The medical community and caregivers • Their social network (family & friends) • Their interests(stimulation for cognitive aspects) • The developer community that can make available new robot applications

  8. People that will benefit • Nurse practitioners / Dementia specialists • Geriatricians • Psychologists • PWDand their carers • Technologists

  9. Major milestones M12 • Implementation of the platform hardware, sensor and communication modifications. 12 Service Robots ready to be used for validation. M24 • Execution of the health aspects of the proposal related to loneliness, isolation, resilience and dementia. • Execution of the CGA and MPI assessments with service robots. • Implementation of the personalised semantic interaction. • Implementation of the MARIO’s behavioural and social skills. M34 • Technical Integration Complete & Replication Plan Ready M36 • Validation completed in homes, communities and hospitals.

  10. Impact • Less demand on social workers, caregivers, and medical experts: • MARIO robots are able to perform CGAand MPIassessments • MARIO robots tackle the problems of loneliness, isolationand depression giving simple access to a range of support functionality both within and outside the home / institution. • Highly personalised applications to robots, while reducing the development costs and the response time to address existing and new needs.

  11. MARIO main unique selling points MARIO will: • perform CGA • be a benchmark for robotics in dementia • be a tool for assisting elderly to stay connected • be acceptableby end-users • be a market leader and a commercially viable product • provide an ethical framework for assisted living • provide a framework for measuring life improvements • save money

  12. Thank you • Acknowledgements The research leading to these results has received funding from the European Union Horizon 2020 – the Framework Programme for Research and Innovation (2014-2020) under grant agreement 643808 Project MARIO “Managing active and healthy aging with use of caring service robots” • Contact http://www.mario-project.eu/

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