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 language | English |
|---|---|
| Pages (from-to) | 1856-1863 |
| Number of pages | 8 |
| Journal | IEEE Robotics and Automation Letters |
| Volume | 7 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1 Apr 2022 |
Keywords
- Deep learning for visual perception
- Medical robots and systems
- Redundant robots
- Task and motion planning
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