Investigating the First Robotic Nurses: Humanoid Robot Nightingale and Partners for COVID-19 Preventive Design
Responding to these global COVID-19 changes for daily healthcare services clinic, while maintaining safe social distancing, the paper reports the human-centred iterative design with real-fields feasibility inquiries to investigate the first robotic nurse and her partners in Wales. The research adapted the ancient Eastern human nature of seven emotions and six biological wills for the selection criteria and novel design principles for the care robots. We report the preliminary work for integrating, customising, implementing and evaluating three novel robotic nurses: Robot Nightingale, Robot Almeida and Robot Eureka in a care home and a hospital. Bionic Scenarios Definition with 5 merging principles are extracted from the Feasibility Inquiries 1–3. Limitations are discussed from the stakeholders’ experiences. Our research has no intension to replace human nurses, but a thoughtful feasibility and interdisciplinary study for bionic robotic nurses for conventional engineers’ and practitioners’ references.
Funding
This work is funded by the 2020 Cardiff Met’s Get Started Grant and in the process of applying for the Welsh Government SMART Expertise 2021–2022. Special appreciation to our strategic robotics partners in the UK and China to provide hardware provision, and granted EUREKA Robotics Lab as the sole distributorship in the UK.
History
Presented at
International Workshop on Medical and Service Robots MESROB 2021 7-9 June Basel, SwitzerlandPublished in
New Trends in Medical and Service Robotics. MESROB 2021. Mechanisms and Machine SciencePublisher
SpringerVersion
- AM (Accepted Manuscript)
Citation
Chew, E., Lee, P.L., Yang, J., Hu, S. (2022). Investigating the First Robotic Nurses: Humanoid Robot Nightingale and Partners for COVID-19 Preventive Design. In: Rauter, G., Carbone, G., Cattin, P.C., Zam, A., Pisla, D., Riener, R. (eds) New Trends in Medical and Service Robotics. MESROB 2021. Mechanisms and Machine Science, vol 106. Springer, Cham. https://doi.org/10.1007/978-3-030-76147-9_15Print ISSN
2211-0984Electronic ISSN
2211-0992ISBN
978-3-030-76147-9Cardiff Met Affiliation
- Cardiff School of Technologies
Cardiff Met Authors
Esyin Chew Jiaji Yang Shuyang HuCopyright Holder
- © The Authors
Publisher Rights Statement
https://www.springernature.com/gp/open-research/policies/accepted-manuscript-termsLanguage
- en