Details of Research Outputs

TitleDesign and Control of a Highly Redundant Rigid-Flexible Coupling Robot to Assist the COVID-19 Oropharyngeal-Swab Sampling
Author (Name in English or Pinyin)
Hu, Y.1; Li, J.2; Chen, Y.3; Wang, Q.4; Chi, C.5; Zhang, H.6; Gao, Q.7; Lan, Y.8; Li, Z.9; Mu, Z.10; Sun, Z.11; Knoll, A.12
Date Issued2021
Source PublicationIEEE Robotics and Automation Letters Open Access
ISSN23773766
DOI10.1109/LRA.2021.3062336
Firstlevel Discipline计算机科学技术
Education discipline科技类
Published range国外学术期刊
References
[1] X. Wang et al., "Comparison of nasopharyngeal and oropharyngeal swabs for SARS-CoV-2 detection in 353 patients received tests with both specimens simultaneously," Int. J. Infect. Dis., vol. 94, pp. 107-109, 2020.
[2] B. Xu et al., "Open access epidemiological data from the Covid-19 outbreak," The Lancet Infectious Diseases, vol. 20, no. 5, p. 534, 2020.
[3] J. Hindson, "Covid-19: faecal-oral transmission?," Nat. Rev. Gastroenterol. Hepatol., vol. 17, no. 5, pp. 259-259, 2020.
[4] G.-Z. Yang et al., "Combating covid-19-The role of robotics in managing public health and infectious diseases," Science Robotics, vol. 5, no. 40, 2020, Art. no. eabb5589.
[5] S.-Q. Li et al., "Clinical application of intelligent oropharyngeal-swab robot: Implication for Covid-19 pandemic," Eur. Respir. J., vol. 56, no. 2, 2020, Art. no. 2001912.
[6] H. Liu, "Application of artificial intelligence robots in respiratory diseases," 2000. [Online]. Available: https://wx.vzan.com/live/tvchat- 76585257?ver=637228232672628287#/
[7] S. Wang, K. Wang, H. Liu, and Z. Hou, "Design of a low-cost miniature robot to assist the covid-19 nasopharyngeal swab sampling," IEEE Tran. Medical Robotics Bionics, vol. 3, no. 1, pp. 289-293, 2021.
[8] "Danish startup develops throat swabbing robot for covid-19 testing," [Online]. Available: https://www.therobotreport.com/danish-startupdevelops- throat-swabbing-robot-for-covid-19-testing/
[9] Z. Li, J. Feiling, H. Ren, and H. Yu, "A novel tele-operated flexible robot targeted forminimally invasive robotic surgery," Engineering, vol. 1, no. 1, pp. 073-078, 2015.
[10] H. Su, Y. Hu, H. R. Karimi, A. Knoll, G. Ferrigno, and E. De Momi, "Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results," Neural Netw., vol. 131, pp. 291-299, 2020.
[11] H. Su, C. Yang, G. Ferrigno, and E. De Momi, "Improved human-robot collaborative control of redundant robot for teleoperated minimally invasive surgery," IEEE Robot. Automat. Lett., vol. 4, no. 2, pp. 1447-1453, Apr. 2019.
[12] S. S. Mirrazavi Salehian, N. Figueroa, and A. Billard, "A unified framework for coordinated multi-arm motion planning," Int. J. Robot. Res., vol. 37, no. 10, pp. 1205-1232, 2018.
[13] Z. Wang, Y. Torigoe, and S. Hirai, "A prestressed soft gripper: Design, modeling, fabrication, and tests for food handling," IEEE Robot. Automat. Lett., vol. 2, no. 4, pp. 1909-1916, Oct. 2017.
[14] Z. Li, B. Huang, A. Ajoudani, C. Yang, C.-Y. Su, and A. Bicchi, "Asymmetric bimanual control of dual-arm exoskeletons for human-cooperative manipulations," IEEE Trans. Robot., vol. 34, no. 1, pp. 264-271, Feb. 2017.
[15] Z. Li, J. Li, S. Zhao, Y. Yuan, Y. Kang, and C. P. Chen, "Adaptive neural control of a kinematically redundant exoskeleton robot using brainmachine interfaces," IEEE Trans.NeuralNetw. Learn. Syst., vol. 30, no. 12, pp. 3558-3571, Dec. 2019.
[16] F. Facchinei, C. Kanzow, and S. Sagratella, "Solving quasi-variational inequalities via their kkt conditions," Math. Program., vol. 144, no. 1-2, pp. 369-412, 2014.
[17] K. He, G. Gkioxari, P. Dollár, and R. Girshick, "Mask r-cnn," in Proc. IEEE Int. Conf. Comput. Vis., 2017, pp. 2961-2969.
[18] A. Radonić, S. Thulke, I.M. Mackay, O. Landt, W. Siegert, and A. Nitsche, "Guideline to reference gene selection for quantitative real-time PCR," Biochem. Biophysical Res. Commun., vol. 313, no. 4, pp. 856-862, 2004.
Citation statistics
Cited Times:31[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttps://irepository.cuhk.edu.cn/handle/3EPUXD0A/2015
CollectionSchool of Science and Engineering
School of Humanities and Social Science
Institute of Urban Underground Space and Energy Studies
Co-First AuthorLi, J.
Corresponding AuthorChen, Y.
Affiliation
1.Fakultat fur Elektrotechnik und Informationstechnik, Chair of Robotics, Artificial Intelligence and Embedded Systems, Technische Universitt Mnchen, Mnchen, Germany, 85748 (e-mail: [email protected
2.School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China, 524400 (e-mail: [email protected
3.Institute of Robotics and Intelligent Manufacturing, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China, 518172 (e-mail: [email protected
4.Urban unmanned systems, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China, 518116 (e-mail: [email protected
5.Shenzhen Institute of Articial Intelligence and Robotics for Society, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China, China, 518129 (e-mail: [email protected
6.Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China, 518129 (e-mail: [email protected
7.Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China, 518000 (e-mail: [email protected
8.Longgang District People's Hospital of Shenzhen, China, (e-mail: [email protected
9.Department of Surgery, the chinese university of hong kong, Hong Kong, China, Hong Kong (e-mail: [email protected
10.the School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, Shenzhen, China, 518055 (e-mail: [email protected
11.School of Science and Engineering, Chinese University of Hong Kong, Shenzhen, Shenzhen, China, 518172 (e-mail: [email protected
12.Robotics, Artificial Intelligence and Embedded Systems, Tech. Univ. Muenchen TUM, Garching, Germany, 85748 (e-mail: [email protected
Corresponding Author AffilicationInstitute of Robotics and Intelligent Manufacturing
Recommended Citation
GB/T 7714
Hu, Y.,Li, J.,Chen, Y.et al. Design and Control of a Highly Redundant Rigid-Flexible Coupling Robot to Assist the COVID-19 Oropharyngeal-Swab Sampling[J]. IEEE Robotics and Automation Letters Open Access,2021.
APA Hu, Y., Li, J., Chen, Y., Wang, Q., Chi, C., .. & Knoll, A. (2021). Design and Control of a Highly Redundant Rigid-Flexible Coupling Robot to Assist the COVID-19 Oropharyngeal-Swab Sampling. IEEE Robotics and Automation Letters Open Access.
MLA Hu, Y.,et al."Design and Control of a Highly Redundant Rigid-Flexible Coupling Robot to Assist the COVID-19 Oropharyngeal-Swab Sampling".IEEE Robotics and Automation Letters Open Access (2021).
Files in This Item:
File Name/Size DocType File Type Version Access License
Design_and_Control_o(3769KB)Journal article--Published draftRestricted AccessCC BY-NC-SA
Related Services
Usage statistics
Google Scholar
Similar articles in Google Scholar
[Hu, Y.]'s Articles
[Li, J.]'s Articles
[Chen, Y.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Hu, Y.]'s Articles
[Li, J.]'s Articles
[Chen, Y.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Hu, Y.]'s Articles
[Li, J.]'s Articles
[Chen, Y.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.