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MINA: A Multitasking Intelligent Nurse Aid Robot

Authors:

Harish Ram Nambiappan,

Krishna Chaitanya Kodur,

Maria Kyrarini,

Fillia Makedon,

Nicholas GansAuthors Info & Claims

PETRA '21: Proceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference

Pages 266 - 267

https://doi.org/10.1145/3453892.3461010

Published: 29 June 2021 Publication History

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Abstract

Nurses have to carry out a myriad of tasks, which is one of the main reasons for burnout. In this paper, a robotic Multitasking Intelligent Nurse Aid (MINA) is proposed to assist nurses with everyday tasks and tackle nurse burnout. MINA uses Simultaneous Localization And Mapping (SLAM) to map shelves in a storage room and pointcloud using an RGB-Depth camera. The barcode of the item is first detected using zbar library, and then the pointcloud is generated in ROS and saved accordingly. Preliminary experiments with respect to the creation of a pointcloud map with barcode detection are presented. The preliminary results reveal that the system shows a 100% barcode detection rate, and with each barcode detection a corresponding pointcloud map is generated and saved automatically without any intervention.

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Cited By

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Wang BChen SXiao G(2024)Advancing healthcare through mobile collaboration: a survey of intelligent nursing robots researchFrontiers in Public Health10.3389/fpubh.2024.136880512Online publication date: 26-Nov-2024
https://doi.org/10.3389/fpubh.2024.1368805
Vlachos EAmoiridis I(2023)Design Considerations for a Robotic Hand Sanitizer Encouragement PlatformHCI International 2023 Posters10.1007/978-3-031-35992-7_26(184-189)Online publication date: 9-Jul-2023
https://doi.org/10.1007/978-3-031-35992-7_26
Sadek EMohammed MMohammad MLotfy Badr NMohamed MEhab Ahmed AAbdelghany A(2021)SHAMS-Smart Hospital Assisting Multitasking System2021 Tenth International Conference on Intelligent Computing and Information Systems (ICICIS)10.1109/ICICIS52592.2021.9694267(258-265)Online publication date: 5-Dec-2021
https://doi.org/10.1109/ICICIS52592.2021.9694267

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Published In

PETRA '21: Proceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference

June 2021

593 pages

ISBN:9781450387927

DOI:10.1145/3453892

Conference Chair:
Fillia Makedon

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 29 June 2021

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PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference

June 29 - July 2, 2021

Corfu, Greece

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Wang BChen SXiao G(2024)Advancing healthcare through mobile collaboration: a survey of intelligent nursing robots researchFrontiers in Public Health10.3389/fpubh.2024.136880512Online publication date: 26-Nov-2024
https://doi.org/10.3389/fpubh.2024.1368805
Vlachos EAmoiridis I(2023)Design Considerations for a Robotic Hand Sanitizer Encouragement PlatformHCI International 2023 Posters10.1007/978-3-031-35992-7_26(184-189)Online publication date: 9-Jul-2023
https://doi.org/10.1007/978-3-031-35992-7_26
Sadek EMohammed MMohammad MLotfy Badr NMohamed MEhab Ahmed AAbdelghany A(2021)SHAMS-Smart Hospital Assisting Multitasking System2021 Tenth International Conference on Intelligent Computing and Information Systems (ICICIS)10.1109/ICICIS52592.2021.9694267(258-265)Online publication date: 5-Dec-2021
https://doi.org/10.1109/ICICIS52592.2021.9694267

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Distributed control of hexapod wall climbing robot implementing Controller Area Network (CAN)

User Validation Study of a Social Robot for Use in Hospital Wards

A Process Flow-Based Framework for Nurse Demand Estimation

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