Network

Computer vision and deep learning for human action recognition, activities of daily living monitoring, privacy-aware visual sensing, food recognition and robotic visual sensing.

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I am a member of EMERGENCE network

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I am passionate about a wide range of topics in artificial Intelligence and robotics. I collaborate with some companies in developing AI-based speech and language technologies, and in large-scale projects in e-health. In robotics, I do wide research in social robotics like adaptive behavior generation, social navigation, assistive robotics, healthcare, and entertainment, and in cognitive - developmental - robotics like nonverbal and multimodal interaction, language and action development, affordance learning, and prediction and decision-making under uncertainty. In a nutshell, my multidisciplinary research lies in the intersection area between AI & machine learning, robotics, cognitive science, computational linguistics, and healthcare.

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Vital sign sensing radar for health monitoring of elderly people, remotely without wearables.

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We are interested in new ways of working and skills development that will affect the adult social care workforce.

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My research looks to develop socially assistive robots to aid with exercise promotion/physiotherapy. Specifically, I look to use machine learning to learn optimal behavioural policies for robots, that can adapt to the changing therapeutic needs of the user. We believe this will help improve user engagement, while delivering health benefits. 

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I have recently completed a project funded by the Trustworthy Autonomous Systems network working with stakeholders across the health-social care system exploring beliefs, expectancies, and concerns around the future for robots in care contexts. I am interested in the barriers to use of robotics - be that structural, practical or social/psychological - particularly around people's trust towards robotic systems.

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My research is focused on soft/flexible robots and how they can be applied to medical robots. I envision that assistive soft robotics may play an active role in assisting Parkinson's patients in completing daily tasks. For instance, a soft robotic sleeve may be able to compensate for the tremor motion of the patient's hand and meanwhile allow the patient to practice their control/use of muscles.

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Interested in the implementation of robotics into healthcare solutions and also learning more about co-creation for designing healthcare robotics solutions.

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Supporting people with dementia in the community - developing a way to share appropriate information about an individual with cognitive impairment to community services and activities so that individual needs can be accommodated.

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Soft Robotics, Optical imaging, Bio-imaging and optical fibres, Mechatronics, Novel materials, MRI Technology and data analytics.

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Carlos Cifuentes is Associate Professor in Human-Robot Interaction at Bristol Robotics Laboratory. He has led several projects on participatory design, development, testing and deployment of wearable, mobile and social robots for rehabilitation, assistance and empowerment. 

His multidisciplinary research with healthcare experts has studied robotic tools' short- and long-term effects in the rehabilitation of cardiac diseases, post-stroke, spinal cord injury, cerebral palsy, Parkinson's disease, ageing, prevention of musculoskeletal disorders and treatment of ASD. 

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I am a PhD student at the Edinburgh Centre for robotics. My work revolves around co-design and the application of the finding to build social robotics platforms. As part of my research group at Heriott Watt University, I have been able to work with different care organisation, such as ViewPoint, Leuchie House and recently Scottish Care. My research is looking at the best ways of capturing users requirements and translate the findings into practical solutions. Additionally, I am looking at robot companion and their benefits for humans to elevate, loneliness, increase social interaction and provide non-invasive sensors.  

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Scottish Care represents Social Care organisations mainly providing care and support for older people in the community and in care homes. The delivery of care and support is changing and interest in technology enabled approaches is of interest, particularly given increasing unmet need and more complex needs being supported in the community. We advocate for a human rights approach and co-design with the sector to ensure appropriate developments in industry and academia.

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I'm a social scientist with a background in formative evaluations of health and social care technology programmes and projects.  

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My interests are in upstream social research and development of co-creation methodologies with engineers for early-stage design in the application area of robots for social care.  

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My research is concerned with supporting the creation of liveable spaces within the processes of human – environmental interactions. The concept of age-friendly environment and healthy cities does not represent a particular ‘end state’ of the built environment and healthy cities, but rather an awareness of health and wellbeing as an ongoing goal of improving the physical conditions in which people live, with the ultimate aim of achieving health for all in contemporary urban contexts. Through co-design approaches, I research how the physical, social, economic and cultural factors coalesce to foster community resilience, social cohesion and sustainable livelihood.

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Currently studying MSc AI at Heriot Watt where I am completing an HRI project related to tracking MCI in the elderly.

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We are investigating emotionally aware virtual agents and user-agent social bond. It would be interesting to study what the target audience and domain context (frailty) impose on the emotions range and models employed in the robot to maximise the benefit of its role. Research in virtual agents shows that the elderly are more focussed on the appearance of the agent than its behaviour. The work extends to social robot design and how emotions can be modelled for robots to assist their human companion on a socio-psychological level.    

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My research background is in robotic language acquisition and human-robot interaction. In the context of EMERGENCE, I am interested in the suitability of (multimodal) speech interfaces for robotics or alternative channels of communication between the robotic device and the (frail) user. My recent focus has been mostly on the failures of such interfaces as they are caused by "non-standard" speakers such as children or elderly persons, or persons with strong accents. Given that frailty is mostly encountered in elderly people I am interested in evaluating the suitability of current (multimodal) speech interfaces in this context. 

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I’ve been on the PIRg membership for seven years, previously involved in telecommunications and automation.

My research areas focus on HCI and HRI. I’ve developed my work in the context of informal caregivers to understand how different types of emerging technologies can support and strengthen their well-being. Part of my current projects focuses on social robots for caregivers (unpaid carers) of older adults. I am interested in joining to this network to keep exploring this area, investigating how to design better future interactions with socially assistive robotics to facilitate long-term integration in healthcare contexts.

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My research is based on technological solutions for the healthcare sector, developing and integrating solutions based on AI. I have expertise in applied AI techniques for medical images, signal analysis, data analysis, pattern recognition, data modelling, data fusion, and image processing.

I want to support the research in frailty condition and integrate AI techniques with Robotics for the development of practical solutions. 

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I am co-founder of Borobo Ltd and work and research in the domain of social companion robotics. My interest in joining the network links to my ongoing research and to finding the right partners to approach as part of a network of people larger funding opportunities in the domain. 

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I am researching safety engineering of robotics and autonomous systems, including healthcare assistive robotics. In particular I am studying techniques for requirements identification, hazard/safety analysis, system design, verification and validation, safety argumentation for RAS or ML/AI. My research aligns with all the EMERGENCE Objectives to some extent, but closely with Objectives 2-4 specifically.   

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We're a robotics company specialising in novel automation solutions for all kinds of applications and processes.

We use robotic automation to drive down process costs, develop new capabilities, and improve safety across a wide range of applications.

We have experience with all kinds of companies and projects, and we focus on the agricultural and environmental industry to improve sustainability and safety. 

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I am a postdoctoral associate at HWU, my research is focused on developing socially aware robots with the capacity for cognitive interactions, with a particular emphasis on bringing socially assistive robots into assisted living and gerontological healthcare. 

My goal is using socially assistive robots to provide companionship and to tackle isolation and loneliness for older adults, and for identifying early signs of frailty and mild cognitive impairment (MCI) by transparently monitoring physical and cognitive decline to help carers in the early identification of symptoms, could have enormous social impact for assisted living for older adults and quality ageing in place.

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I part of the EMERGENCE team and regularly participate in workshops representing the perspective of the University of Hertfordshire and the Robot House research facility. My research interests are within social and assistive robotics.

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Application of  communication systems to robotics in a range use-cases and environments

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My research interest includes IoT solutions for healthcare (e.g., Ambient Assisted Living, Smart Aging Services), Things to Things communication and Interoperability, IoT devices security modeling using ontological methods, and IoT-enabled Digital Twins.

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My research experience is focused on the development of healthcare devices for elderly people. I worked on incontinence management system and bioimpedance measurement projects. Recently, I am focusing on smart lens and tremor detection work.  

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My current research interests include communication-control co-design, ultra-reliable low-latency communications (URLLC), and real-time wireless control considering mission-critical robotic application areas such as healthcare, and social care.

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My research interests are in Mobile Robotics, Human-Robot Interaction, Social Robotics, and Robotic Home Companion as well as smart home technologies and infrastructures that enhance the functionalities and widen the application of robot companions in domestic environments. 

This includes whether users could self-manage and mitigate their own frailty through personalising their robot’s behaviours to help and support them with activities of daily living and improve their wellbeing. In addition, could robots be used as a mediator to address social isolation, and support and enhance the dyadic and triadic relationships between a user and their family members and their professional healthcare workers?

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Mechanism design (adaptive grippers, deployable mechanisms, parallel mechanisms, and reconfigurable mechanisms etc) and development of purpose-built robots    

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I am primarily interested in how humans interact with their immediate environment, with each other and with artificial agents. My main research method is electroencephalography (EEG), which allows the investigation of implicit cognitive processes, such as action planning and anticipation and outcome evaluation, even in the absence of overt behaviour.  Understanding the human mind in HRI is essential in developing trustworthy and competent  robots that could interact safely and effectively with humans in health-care and social-care environments without replacing the human, but instead helping them remain physically and mentally active.

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My research background is in electrical machines and drives, electromechanical energy conversion systems and electromagnetic actuation. I am fascinated with multidisciplinary research projects where I can contribute my expertise to a team in order to solve challenging problems, such as those covered by the Emergence themes. I have recently supervised a student working on developing devices that improve the lifestyle of people suffering from Parkinson's and essential tremors. 

I have a keen interest in robotic systems that employ diverse actuation mechanisms, and a deep passion for working on applications that improve the lifestyle of people suffering from medical conditions. 

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working in frailty and interested in emerging research in this area

Intervention to support Activity of daily living in frail older adults.

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Secure by design cybersecurity solutions to protect and safeguard user's data and preserve user's privacy when it interacts with multimodal assistive RAS and its environment including remote or local access by carer/nurse/doctor/engineer to make RAS more trustable, acceptable, and adoptable among the public. The interaction, engagement and storage should preserve data integrity, data confidentiality and data availability and ensures data transparency to make the decision-making process visible to the user and carers without compromising user’s privacy, and security of data and RAS.    

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I'm interested in the intersection of ethics and safety for assistive robots, with a particular emphasis on the integration of this technology into the lives of people living with frailty. My focus is on the use of standards, as well as the identification of ethical hazards and the elicitation of stakeholder input.

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Human-Computer Interaction, HRI, VR/AR/Mixed Reality, Computer/Machine Vision, Applied Machine Learning in Healthcare, Assisted Healthcare, Ambient assisted living (AAL) systems in homes of older adults 

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The aim of my doctoral research is to engage older adults in cognitive activities prior to the onset of age-related conditions (e.g., mild cognitive impairment and dementia) through the use of socially assistive robots and sensory feedback. Participatory Design methodologies have been employed in order to invite end users and relevant stakeholders (e.g., therapists) to be part of the design process. User studies have also been integrated to receive feedback from older adults directly.

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My expertise is fault detection and diagnostics of electrical machines and drives, as well as DSP for diagnostic purposes. I am also involved in research in the field of estimation and control. 

Several components of robotics that this project will involve embed electrical machines (such as actuators, permanent magnet DC machines, servo motors, etc), drives, and servo-drives that require control and practical application of DSP principles.

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I am a human rights expert. I have former experience working as a lawyer in implementing GDPR in the health and care sector.

My research interests are legal, regulatory and ethical issues that can be raised by using autonomous systems in everyday life. 

I am currently working on the project Open All senses (Agile 2021-2022) about social robots used in museums and healthcare sector and three TAS projects Co-Design of Context-Aware Trustworthy Audio Capture (TAS) (May 2022). The citizen carbon budget (TAS) (May 2022). RRI and art project (TAS) (May 2022).

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Lead author of the UK-RAS white paper on robotics in social care.  Co-inventor of the MiRo-e robot used in studies of robot-assistive therapy.  Co-founder of Cyberselves which is working on use of telepresence in care settings. Partner in the Wellcome Trust Imagining Technologies for Disability Futures project.  I was also involved in the development of the Emergence proposal.

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long term autonomy, smart sensor integration 

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The assistance that socially assistive robots can provide could acquire more value if the same platform was able to adapt itself to the preferences and ever-changing needs of their users. My research interest lies in developing adaptive autonomous robots that could mitigate the effect of frailty by helping its users with activities of daily living and well-being, and by providing relief to social isolation, with personalised interventions. This way, by deploying robots in the house of frail individuals, they could become valuable assets to empower them and allow them to retain their independence for as long as possible. 

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My research interests revolve around the factors needed to provide successful, better support for individuals in the health and home context including the use of robotics and assistive technologies 

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I’m interested in robotics and co-design approaches particularly around rehabilitation and caring for people in their own homes and communities. 

InnoScot Health is supporting health and social care professionals in Scotland with ideas that can help transform the quality of life for people living with frailty, while helping NHS Scotland adapt to changing demographics and increase in service use as people become frailer.  

We support innovation and collaboration from and with NHS Scotland staff with a view to commercialisation. InnoScot Health operates an ISO 13485:2016 quality management system harmonised to the Medical Device Directive and also offer regulatory advice.

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Interested in how robotics can help those who are frail, have a physical or mental health issue. 

Smplicare is funded by UKRI to develop AI-based algorithms for preventing falls for the frail and elderly. We want to expand our research into AI and how that can be used to change behavior. Cognitive AI is the area that could be most useful in behavioral change, we could implement a real-world test bed with our current participants.

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The UK ageing population and increased life expectancy have made elderly care unaffordable and overwhelming for many. This is creating the trend to take the care activity outside the clinical setting (in care homes or at home). Continuous health monitoring enables prompt intervention and can substantially prevent hospital admissions. Undeniably this improves the quality of life, particularly for the elderly and their carers. My research interests include providing innovative solutions to tackle these problems in the form of RADAR-based technology that monitors peoples' health.

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Autism, ageing

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I am an economist with a research interest in labour and health economics. I am interested in studying and evaluating the impact of robotics on different aspects of everyday life, from job opportunities to improvement in quality of life, mental health etc.

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My background is in Computer Science and Engineering, and Human Factors. I am mainly interested in robotics, Human-Computer Interaction (HCI), Human-Robot Interaction (HRI) and the applications of Machine Learning (ML) in those areas.

My research involves robots and Autonomous Systems, exploring trust and multi-modal interactions that could help improve the accessibility and inclusiveness of these technologies. My work spans various sectors, but I am mostly interested in Assistive Robotics (socially and physically) and Educational Robotics. I have experience working with children and adults with learning difficulties/disabilities, as well as with physical disabilities, and co-designing and co-creating with end users.

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Use of AI and Robotics

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Intelligent building integrated caring robots

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I am an ESR (MSCA-ITN fellow) at visuAAL - Privacy-Aware and Acceptable Video-Based Technologies and Services for Active and Assisted Living.  The aim of this PhD is to explore machine learning or artificial intelligence (AI) approaches interaction with visually guided Personal Assistant Robots (PARs) as a part of Active and Assisted Living (AAL) environment. Research will involve defining user and behaviour models to facilitate appropriate AI approaches to interaction that support self-management,  educational and training that are delivered visually and via audio on a PAR. The user will be able to interact with the PAR through spoken language. The PARs will use Vision-and-Language Navigation (VLN) approaches to parse the user’s instructions and execute them in the AAL environment. The PhD will also address data protection, ethical and privacy concerns in relation to the use of AI and visual data in an AAL context.

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Physical exercises have been prescribed for good health since 600BC, and there is plenty of scientific evidence that exercise is effective to improve health outcomes. For exercises to be effective, there is a critical need for a contextual understanding of the activities (what is being done? when? where? how? by whom?) before implementing any specific intervention plan. My work focuses on the measurement and understanding of human activities, and, specific to EMERGENCE, on the measurement of the main functional parameters related to frailty (i.e. mobility, strength and balance) through an innovative combination and data fusion of nearable and wearable sensors. 

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Digital connectivity and cloud computing for robotics in health and care applications.  In particular, I'm interested in data sharing and management in healthcare settings. 

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I aim to extend the generative co-design system and deepen its impact by applying it to personalise a variety of assistive devices (or robots). Current devices are often rejected due to being ill-fitted to individuals and aesthetically ugly. I intend to lay the foundations for people to co-design their personalised assistive devices, from mobility aids to adapted crockery, furniture and other rehabilitation products.