Assistive Cyber-Physical-Social Systems in the healthcare industry
Title: Assistive Cyber-Physical-Social Systems in the healthcare industry
Authors: Peter Antai (Sheffield Hallam University); Lyuba Alboul (Sheffield Hallam University); Joshua Roe (Heriot-Watt University);
Year: 2022
Citation: Antai, P., Alboul, L., Roe, J., (2022). Assistive Cyber-Physical-Social Systems in the healthcare industry. UKRAS22 Conference “Robotics for Unconstrained Environments” Proceedings, 78-79. doi: 10.31256/Sb9Ot3I
Abstract:
Abstract—Due to the shortage of nursing staff as well as the challenges faced with doing mundane tasks, there is a need to look to automating some of the day-to-day repetitive tasks that are faced by healthcare
staff. As such, this work proposes a way to automate these tasks using an assistive robot. The primary focus is on automating medication dispensation, which is a repetitive task that has proven to be one of the risky tasks during the pandemic as it needs a prolonged stay with the service user or patient to ensure the medication has been taken. As such, this work proposes the use of a mobile robot for medication
dispensation. We have utilised the Tiago robot for its suitability and flexibility in navigating complex surroundings. We used face mapping for patient identification and QR codes for patient room identification. We conducted a simulation and found that the robot was able to execute these tasks in a safe and accurate manner.