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Design and Control of a Highly Redundant Rigid-flexible Coupling Robot to Assist the COVID-19 Oropharyngeal-Swab Sampling

  • Yingbai Hu
  • , Jian Li
  • , Yongquan Chen
  • , Qiwen Wang
  • , Chuliang Chi
  • , Heng Zhang
  • , Qing Gao
  • , Yuanmin Lan
  • , Zheng Li
  • , Zonggao Mu
  • , Zhenglong Sun
  • , Alois Knoll
  • Shenzhen Institute of Artificial Intelligence and Robotics for Society
  • Technical University of Munich
  • The Chinese University of Hong Kong, Shenzhen
  • LonggangDistrict People's Hospital
  • Chinese University of Hong Kong
  • Shandong University of Technology

Research output: Contribution to journalArticlepeer-review

58 Scopus citations

Abstract

The outbreak of novel coronavirus pneumonia (COVID-19) has caused mortality and morbidity worldwide. Oropharyngeal-swab (OP-swab) sampling is widely used for the diagnosis of COVID-19 in the world. To avoid the clinical staff from being affected by the virus, we developed a 9-degree-of-freedom (DOF) rigid-flexible coupling (RFC) robot to assist the COVID-19 OP-swab sampling. This robot is composed of a visual system, UR5 robot arm, micro-pneumatic actuator and force-sensing system. The robot is expected to reduce risk and free up the clinical staff from the long-term repetitive sampling work. Compared with a rigid sampling robot, the developed force-sensing RFC robot can facilitate OP-swab sampling procedures in a safer and softer way. In addition, a varying-parameter zeroing neural network-based optimization method is also proposed for motion planning of the 9-DOF redundant manipulator. The developed robot system is validated by OP-swab sampling on both oral cavity phantoms and volunteers.

Original languageEnglish
Pages (from-to)1856-1863
Number of pages8
JournalIEEE Robotics and Automation Letters
Volume7
Issue number2
DOIs
StatePublished - 1 Apr 2022

Keywords

  • Deep learning for visual perception
  • Medical robots and systems
  • Redundant robots
  • Task and motion planning

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