Consequential Robotics Ltd
Consequential Robotics Ltd
2 Projects, page 1 of 1
assignment_turned_in Project2022 - 2025Partners:Blackwood, Cyberselves Universal Limited, Skills for Care, Skills for Care, Medical Device Manufacturing Centre +30 partnersBlackwood,Cyberselves Universal Limited,Skills for Care,Skills for Care,Medical Device Manufacturing Centre,InnoScot Health,Digital Health and Care Institute,North Bristol NHS Trust,NHS Lothian,Bristol Health Partners,NTU,Johnnie Johnson Housing and Astraline,Blackwood Homes and Care,Consequential Robotics Ltd,Innovation Centre for Sensor and Imaging Systems,Johnnie Johnson Housing and Astraline,National Rehabilitation Center,University of Nottingham,Scottish Health Innovations Ltd,National Rehabilitation Center,North Bristol NHS Trust,Cyberselves Universal Limited,CENSIS,Barnsley Hospital NHS Foundation Trust,Sheffield Teaching Hospitals NHS Trust,PAL Robotics,Barnsley Hospital NHS Foundation Trust,Bristol Health Partners,Blackwood Homes and Care,UBC,The Medical Device (United Kingdom),Sheffield Teaching Hospitals NHS Foundation Trust,NHS Lothian,Digital Health and Care Institute,Consequential Robotics (to be replaced)Funder: UK Research and Innovation Project Code: EP/W000741/1Funder Contribution: 708,125 GBPThe EMERGENCE network aims to create a sustainable eco-system of researchers, businesses, end-users, health and social care commissioners and practitioners, policy makers and regulatory bodies in order to build knowledge and capability needed to enable healthcare robots to support people living with frailty in the community. By adopting a person-centred approach to developing healthcare robotics technology we seek to improve the quality of life and independence of older people at risk of, and living with frailty, whilst helping to contain spiralling care costs. Individuals with frailty have different needs but, commonly, assistance is needed in activities related to mobility, self-care and domestic life, social activities and relationships. Healthcare can be enhanced by supporting people to better self-manage the conditions resulting from frailty, and improving information and data flow between individuals and healthcare practitioners, enabling more timely interventions. Providing cost-effective and high-quality support for an aging population is a high priority issue for the government. The lack of adequate social care provisions in the community and funding cuts have added to the pressures on an already overstretched healthcare system. The gaps in ability to deliver the requisite quality of care, in the face of a shrinking care workforce, have been particularly exposed during the ongoing Covid-19 crisis. Healthcare robots are increasingly recognised as solutions in helping people improve independent living, by having the ability to offer physical assistance as well as supporting complex self-management and healthcare tasks when integrated with patient data. The EMERGENCE network will foster and facilitate innovative research and development of healthcare robotic solutions so that they can be realised as pragmatic and sustainable solutions providing personalised, affordable and inclusive health and social care in the community. We will work with our clinical partners and user groups to translate the current health and social care challenges in assessing, reducing and managing frailty into a set of clear and actionable requirements that will inspire novel research and enable engineers to develop appropriate healthcare robotics solutions. We will also establish best practice guidelines for informing the design and development of healthcare robotics solutions, addressing assessment, reduction and self-management of frailty and end-user interactions for people with age-related sensory, physical and cognitive impairments. This will help the UK develop cross-cutting research capabilities in ethical design, evaluation and production of healthcare robots. To enable the design and evaluation of healthcare robotic solutions we will utilize the consortium's living lab test beds. These include the Assisted Living Studio in the Bristol Robotics Lab covering the South West, the National Robotarium in Edinburgh together with the Health Innovation South East Scotland's Midlothian test bed, the Advanced Wellbeing Research Centre and HomeLab in Sheffield, and the Robot House at the University of Hertfordshire covering the South East. Up to 10 funded feasibility studies will drive co-designed, high quality research that will lead to technologies capable of transforming community health and care. The network will also establish safety and regulatory requirements to ensure that healthcare robotic solutions can be easily deployed and integrated as part of community-based frailty care packages. In addition, we will identify gaps in the skills set of carers and therapists that might prevent them from using robotic solutions effectively and inform the development of training content to address these gaps. This will foster the regulatory, political and commercial environments and the workforce skills needed to make the UK a global leader in the use of robotics to support the government's ageing society grand challenge.
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For further information contact us at helpdesk@openaire.euassignment_turned_in Project2020 - 2024Partners:Health & Social Care Information Centre, Lancashire and South Cumbira NHS Trust, Defence Science and Technology Laboratory, National Institute of Informatics, UWA +75 partnersHealth & Social Care Information Centre,Lancashire and South Cumbira NHS Trust,Defence Science and Technology Laboratory,National Institute of Informatics,UWA,TechnipFMC (France),Advanced Manufacturing Research Centre,CRODA EUROPE LIMITED,Lero (The Irish Software Research Ctr),ADVANCED MANUFACTURING RESEARCH CENTRE,Connected Places Catapult,Shadow Robot Company Ltd,Chartered Inst of Ergo & Human Factors,Bradford Teaching Hospitals NHS Foundation Trust,Defence Science & Tech Lab DSTL,KUKA Robotics UK Limited,TechnipFMC (International),GoSouthCoast,THALES UK LIMITED,Croda (United Kingdom),Ocado Technology,Autonomous Drivers Alliance,Sheffield Childrens NHS Foundation Trust,UCF,CLAWAR Ltd,University of York,Milton Keynes Hospital,DHSC,Advanced Manufacturing Research Centre,Bristol Robotics Laboratory,Thales UK Limited,Consequential Robotics Ltd,PUBLIC HEALTH ENGLAND,National Institute of Informatics,Thales (United Kingdom),Consequential Robotics (to be replaced),RAC Foundation,CRODA EUROPE LTD,Kompai Robotics,Resilient Cyber Security Solutions,Milton Keynes Hospital,Ocado Technology,Cyberselves Universal Limited,Robert Bosch (Germany),Lero,GoSouthCoast,Resilient Cyber Security Solutions,Shadow Robot (United Kingdom),University of York,ClearSy,RAC Foundation for Motoring,Defence Science & Tech Lab DSTL,Cyberselves Universal Limited,ClearSy,Bradford Teaching Hospitals,IAM RoadSmart,University of Central Florida,NHS Digital,Public Health England,Welsh Ambulance Services NHS Trust,KUKA (United Kingdom),ATACC group,Connected Places Catapult,IAM RoadSmart,Lancashire Teaching Hospitals NHS Trust,Lancashire Teaching Hospitals NHS Foundation Trust,Bristol Robotics Laboratory,ATACC group,PHE,Lancashire & South Cumbria NHS Fdn Trust,Sheffield Children's NHS Foundation Trust,KUKA Robotics UK Limited,CLAWAR Ltd,Bradford Teaching Hospitals,Robert Bosch (Germany),National Institute of Informatics,Welsh Ambulance Services NHS Trust,University of Western Australia,Kompai Robotics,Autonomous Drivers AllianceFunder: UK Research and Innovation Project Code: EP/V026747/1Funder Contribution: 3,063,680 GBPImagine a future where autonomous systems are widely available to improve our lives. In this future, autonomous robots unobtrusively maintain the infrastructure of our cities, and support people in living fulfilled independent lives. In this future, autonomous software reliably diagnoses disease at early stages, and dependably manages our road traffic to maximise flow and minimise environmental impact. Before this vision becomes reality, several major limitations of current autonomous systems need to be addressed. Key among these limitations is their reduced resilience: today's autonomous systems cannot avoid, withstand, recover from, adapt, and evolve to handle the uncertainty, change, faults, failure, adversity, and other disruptions present in such applications. Recent and forthcoming technological advances will provide autonomous systems with many of the sensors, actuators and other functional building blocks required to achieve the desired resilience levels, but this is not enough. To be resilient and trustworthy in these important applications, future autonomous systems will also need to use these building blocks effectively, so that they achieve complex technical requirements without violating our social, legal, ethical, empathy and cultural (SLEEC) rules and norms. Additionally, they will need to provide us with compelling evidence that the decisions and actions supporting their resilience satisfy both technical and SLEEC-compliance goals. To address these challenging needs, our project will develop a comprehensive toolbox of mathematically based notations and models, SLEEC-compliant resilience-enhancing methods, and systematic approaches for developing, deploying, optimising, and assuring highly resilient autonomous systems and systems of systems. To this end, we will capture the multidisciplinary nature of the social and technical aspects of the environment in which autonomous systems operate - and of the systems themselves - via mathematical models. For that, we have a team of Computer Scientists, Engineers, Psychologists, Philosophers, Lawyers, and Mathematicians, with an extensive track record of delivering research in all areas of the project. Working with such a mathematical model, autonomous systems will determine which resilience- enhancing actions are feasible, meet technical requirements, and are compliant with the relevant SLEEC rules and norms. Like humans, our autonomous systems will be able to reduce uncertainty, and to predict, detect and respond to change, faults, failures and adversity, proactively and efficiently. Like humans, if needed, our autonomous systems will share knowledge and services with humans and other autonomous agents. Like humans, if needed, our autonomous systems will cooperate with one another and with humans, and will proactively seek assistance from experts. Our work will deliver a step change in developing resilient autonomous systems and systems of systems. Developers will have notations and guidance to specify the socio-technical norms and rules applicable to the operational context of their autonomous systems, and techniques to design resilient autonomous systems that are trustworthy and compliant with these norms and rules. Additionally, developers will have guidance to build autonomous systems that can tolerate disruption, making the system usable in a larger set of circumstances. Finally, they will have techniques to develop resilient autonomous systems that can share information and services with peer systems and humans, and methods for providing evidence of the resilience of their systems. In such a context, autonomous systems and systems of systems will be highly resilient and trustworthy.
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