A semi-automated mid-turbinate swab sampling using a 6-DoF collaborative robot and cameras

Michael Leung, Ricardo Ortiz, Bruce Woongyeol Jo


Mid-turbinate swab sampling is an effective way to detect the SARS-CoV-2 virus. Several articles discussed the importance and benefits of using robotic technology to alleviate healthcare workers’ daily burdens against COVID-19. Therefore, a semi-automated approach for collecting swab samples from the mid-turbinate area - approximately 4 cm inside the nose - is proposed. The system utilizes a 6-DOF Doosan Robot M1509 and two smart visual sensors: one on the end effector and the other fixed to the side for estimating the angle of the nasal path. This work suggests a method of robot and human collaboration in the sampling process that could minimize infections from samplings and guarantee uniformly administered sampling processes. The effectiveness of this proposed work was tested on a live patient and a phantom head; meanwhile, the insertion process was only administered on the phantom head. Although the overall time of the experiment was greater than a manual swab, the feasibility of implementing robotic applications for COVID-19 swab sampling has been practically showcased in this paper.


Cameras; Collaborative robots; COVID testing; Medical robots; Robot-assisted systems; Robotics manipulators

DOI: http://doi.org/10.11591/ijra.v12i2.pp%25p


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

IJRA Visitor Statistics