Publication detail

Intelligent Sampling of Anterior Human Nasal Swabs using a Collaborative Robotic Arm

PARÁK, R. JUŘÍČEK, M.

English title

Intelligent Sampling of Anterior Human Nasal Swabs using a Collaborative Robotic Arm

Type

journal article in Scopus

Language

en

Original abstract

Advanced robotics does not always have to be associated with Industry 4.0, but can also be applied, for example, in the Smart Hospital concept. Developments in this field have been driven by the coronavirus disease (COVID-19), and any improvement in the work of medical staff is welcome. In this paper, an experimental robotic platform was designed and implemented whose main function is the swabbing samples from the nasal vestibule. The robotic platform represents a complete integration of software and hardware, where the operator has access to a web-based application and can control a number of functions. The increased safety and collaborative approach cannot be overlooked. The result of this work is a functional prototype of the robotic platform that can be further extended, for example, by using alternative technologies, extending patient safety, or clinical tests and studies. Code is available at https://github.com/ Steigner/ Robo_ Medicinae_ I.

English abstract

Advanced robotics does not always have to be associated with Industry 4.0, but can also be applied, for example, in the Smart Hospital concept. Developments in this field have been driven by the coronavirus disease (COVID-19), and any improvement in the work of medical staff is welcome. In this paper, an experimental robotic platform was designed and implemented whose main function is the swabbing samples from the nasal vestibule. The robotic platform represents a complete integration of software and hardware, where the operator has access to a web-based application and can control a number of functions. The increased safety and collaborative approach cannot be overlooked. The result of this work is a functional prototype of the robotic platform that can be further extended, for example, by using alternative technologies, extending patient safety, or clinical tests and studies. Code is available at https://github.com/ Steigner/ Robo_ Medicinae_ I.

Keywords in English

Robotics, Smart Hospital, Convolution Neural Network (CNN), U-Net, ASPOCRNet, Robot Operating System (ROS)

Released

30.06.2022

Publisher

Brno University of Technology

Location

Brno University of Technology

ISSN

1803-3814

Volume

28

Number

1

Pages from–to

32–40

Pages count

9

BIBTEX


@article{BUT178840,
  author="Roman {Parák} and Martin {Juříček},
  title="Intelligent Sampling of Anterior Human Nasal Swabs using a Collaborative Robotic Arm",
  year="2022",
  volume="28",
  number="1",
  month="June",
  pages="32--40",
  publisher="Brno University of Technology",
  address="Brno University of Technology",
  issn="1803-3814"
}