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Robotic Nursing Assistant Applications and Human Subject Tests through Patient Sitter and Patient Walker Tasks

Cody Lee Lundberg, Hakkı Erhan Sevil, Deborah Behan, Dan O. Popa

Year
2022
Citations
7
Access
Open access

Abstract

This study presents the implementation of basic nursing tasks and human subject tests with a mobile robotic platform (PR2) for hospital patients. The primary goal of this study is to define the requirements for a robotic nursing assistant platform. The overall designed application scenario consists of a PR2 robotic platform, a human subject as the patient, and a tablet for patient–robot communication. The PR2 robot understands the patient’s request and performs the requested task by performing automated action steps. Two categories and three tasks are defined as: patient sitter tasks, include object fetching and temperature measurement, and patient walker tasks, including supporting the patient while they are using the walker. For this designed scenario and these tasks, human subject tests are performed with 27 volunteers in the Assistive Robotics Laboratory at the University of Texas at Arlington Research Institute (UTARI). Results and observations from human subject tests are provided. These activities are part of a larger effort to establish adaptive robotic nursing assistants (ARNA) for physical tasks in hospital environments.

Keywords

Task (project management)RobotSubject (documents)RoboticsHuman–computer interactionComputer scienceArtificial intelligenceAction (physics)Object (grammar)Nursing

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