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

The outbreak of novel coronavirus pneumonia (COVID-19) has caused mortality and morbidity worldwide Oropharyngeal-swabs (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-DOFs rigid-flexible coupling (RFC) robot to assist the COVID19 OP-swab sampling This robot composes of a visual system, a UR5 robot arm, a micro pneumatic actuator (MPA), and a force sensing system The robot is expected to reduce risk and free up the clinical staff from the long-term repetitive sampling work through remote sampling Compared with a rigid sampling robot, the developed force-sensing RFC robot can facilitate OP-swab sampling procedures in a safer and softer way Additionally, a novel varying-parameters zeroing neural network-based optimization method is also proposed for motion planning of the 9-DOFs redundant manipulator The developed robot system is validated by OP-swab sampling on both oral cavity phantoms and volunteers IEEE

[1]  Shinichi Hirai,et al.  A Prestressed Soft Gripper: Design, Modeling, Fabrication, and Tests for Food Handling , 2017, IEEE Robotics and Automation Letters.

[2]  Aude Billard,et al.  A unified framework for coordinated multi-arm motion planning , 2018, Int. J. Robotics Res..

[3]  Hongliang Ren,et al.  A Novel Tele-Operated Flexible Robot Targeted for Minimally Invasive Robotic Surgery , 2015 .

[4]  Sumiko Mekaru,et al.  Open access epidemiological data from the COVID-19 outbreak , 2020, The Lancet Infectious Diseases.

[5]  Hang Su,et al.  Improved Human–Robot Collaborative Control of Redundant Robot for Teleoperated Minimally Invasive Surgery , 2019, IEEE Robotics and Automation Letters.

[6]  Ross B. Girshick,et al.  Mask R-CNN , 2017, 1703.06870.

[7]  Hamid Reza Karimi,et al.  Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results , 2020, Neural Networks.

[8]  Russell H. Taylor,et al.  Combating COVID-19—The role of robotics in managing public health and infectious diseases , 2020, Science Robotics.

[9]  Antonio Bicchi,et al.  Asymmetric Bimanual Control of Dual-Arm Exoskeletons for Human-Cooperative Manipulations , 2018, IEEE Transactions on Robotics.

[10]  Yu Kang,et al.  Adaptive Neural Control of a Kinematically Redundant Exoskeleton Robot Using Brain–Machine Interfaces , 2019, IEEE Transactions on Neural Networks and Learning Systems.

[11]  W. Siegert,et al.  Guideline to reference gene selection for quantitative real-time PCR. , 2004, Biochemical and biophysical research communications.

[12]  Francisco Facchinei,et al.  Solving quasi-variational inequalities via their KKT conditions , 2014, Math. Program..

[13]  Shi-yue Li,et al.  Clinical application of an intelligent oropharyngeal swab robot: implication for the COVID-19 pandemic , 2020, European Respiratory Journal.

[14]  Zengguang Hou,et al.  Design of a Low-Cost Miniature Robot to Assist the COVID-19 Nasopharyngeal Swab Sampling , 2020, IEEE Transactions on Medical Robotics and Bionics.

[15]  Liming Cheng,et al.  Comparison of nasopharyngeal and oropharyngeal swabs for SARS-CoV-2 detection in 353 patients received tests with both specimens simultaneously , 2020, International Journal of Infectious Diseases.

[16]  J. Hindson COVID-19: faecal–oral transmission? , 2020, Nature Reviews Gastroenterology & Hepatology.