IROS 20250 citations

Multimodal Upstream Motion of Magnetically Controlled Micro/Nano Robots in High-Viscosity Fluids

Chan Li, Zijin Zeng, Tianyi Fan, Shengyuan Wang, Chutian Wang, Hongyan Sun, Shunxiao Huang, Wenyan Niu

Abstract

The efficacy of targeted cancer drug therapy is significantly compromised by imprecise drug delivery mechanisms. Micro/nano robots (MNRs), characterized by their controllable motion, present a promising solution to this challenge. However, the non-Newtonian nature of blood, with its high viscosity and blood cells’ interference, poses substantial limitations on the upstream efficiency of MNRs. This paper innovatively discusses for the first time the effects of blood viscosity and blood cell interference on the motion of MNRs, investigating their upstream motion capabilities in blood through comprehensive theoretical modeling, simulation, and experimental validation. A dynamic model of MNR motion was developed, and the velocity formula for MNRs in non-Newtonian fluid was derived. Experiments were conducted using different magnetic fields in pure water, high-viscosity simulated blood, and diluted blood. Results indicated that under a gradient magnetic field, the upstream velocities of MNRs in pure water, simulated blood, and diluted blood were 45.0, 14.4, and 11.1 mm/s, respectively. Under a rotating magnetic field, the velocities of vortex swarms were 825, 240, and 145 µm/s, respectively. Increased fluid viscosity reduced MNR velocity by 70%, while blood cells caused an additional 10% reduction. This research establishes a theoretical and experimental framework for the upstream motion of MNRs against blood flow, enhancing their potential in targeted drug delivery and broader biomedical applications.

BibTeX
@inproceedings{iros2025_multimodalupstre,
  title = {Multimodal Upstream Motion of Magnetically Controlled Micro/Nano Robots in High-Viscosity Fluids},
  author = {Chan Li and Zijin Zeng and Tianyi Fan and Shengyuan Wang and Chutian Wang and Hongyan Sun and Shunxiao Huang and Wenyan Niu and Yingjian Guo and Lin Feng},
  booktitle = {IROS 2025},
  year = {2025}
}