Adaptive Robotic Nursing Assistant (ARNA)
The Adaptive Robotic Nursing Assistant (ARNA) project is a novel robotic system designed to assist nurses carry out physical tasks in hospital environments. The Next Generation Systems lab works in conjunction with Nursing students to make the research possible.
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Project Objectives
ARNA is designed to assist nurses with two scenarios:
- Patient Sitter
- Visual monitoring of patient and alerting nurses in case the patient is
getting out of the bed or about to fall - Take vital reading periodically.
- Fetch items requested by the patient in the room.
- Ability to have a conversation with the patient.
- Visual monitoring of patient and alerting nurses in case the patient is
- Walker Scenario
- Assessing the patient’s gait and supporting them during walking.
- Carry essential equipment along with the patient.
- Providing necessary support when the user needs rest or slows down.
- Able to carry the patient when they get tired.
ARNA will be able to navigate hospitals and will be equipped with multi-modal skin sensors that can anticipate nurse intent, and automate mundane low-level tasks (while keeping nurses in the decision loop). ARNA will also use learning algorithms to adapt to human preferences. All of the above features will be used for a walker robot (to exercise recovering patients) and a patient sitter robot (to monitor a patients vital measurements).
Project Team
- Sumit Kumar Das – Research Scientist
- Chris Robinson – Research Support
- Shamsudeen Olawale Abubakar – Ph.D. Candidate
- Maxwell Carter – Undergraduate Research Assistant
- Christopher Trombley – Undergraduate Research Assistant
- Christopher Kolibab – Undergraduate Research Assistant
- Henry Reynolds – Undergraduate Research Assistant
- Rukmitha Chenna- Undergraduate Research Assistant
- Karthik Venkata – Undergraduate Research Assistant
To learn more about ARNA visit the NSF Award page.
![](https://nextgensystemslab.com/wp-content/uploads/2021/04/20190405_122820-1024x768.jpg)
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