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Comprehensive modeling of corkscrew motion in micro-/nano-robots with general helical structures.
Hu, Ningning; Ding, Lujia; Wang, Aihui; Zhou, Wenju; Zhang, Chris; Zhang, Bing; Yin, Ruixue.
Affiliation
  • Hu N; School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200444, China.
  • Ding L; Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, SK, Canada. dominic.ding.1024@gmail.com.
  • Wang A; School of Automation and Electrical Engineering, Zhongyuan University of Technology, Zhengzhou, 450007, China.
  • Zhou W; School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200444, China.
  • Zhang C; Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, SK, Canada.
  • Zhang B; School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200444, China. bingzhang84@shu.edu.cn.
  • Yin R; School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, 200237, China. yinruixue@ecust.edu.cn.
Nat Commun ; 15(1): 7399, 2024 Aug 27.
Article in En | MEDLINE | ID: mdl-39191756
ABSTRACT
Micro-/nano-robots (MNRs) have impressive potential in minimally invasive targeted therapeutics through blood vessels, which has disruptive impact to improving human health. However, the clinical use of MNRs has yet to happen due to intrinsic limitations, such as overcoming blood flow. These bottlenecks have not been empirically solved. To tackle them, a full understanding of MNR behaviors is necessary as the first step. The common movement principle of MNRs is corkscrew motion with a helical structure. The existing dynamic model is only applicable to standard helical MNRs. In this paper, we propose a dynamic model for general MNRs without structure limitations. Comprehensive simulations and experiments were conducted, which shows the validity and accuracy of our model. Such a model can serve as a reliable basis for the design, optimization, and control of MNRs and as a powerful tool for gaining fluid dynamic insights, thus accelerating the development of the field.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Robotics / Motion Limits: Humans Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2024 Type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Robotics / Motion Limits: Humans Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2024 Type: Article Affiliation country: China