Issue 48, 2023

Combined three dimensional locomotion and deformation of functional ferrofluidic robots

Abstract

Magnetic microrobots possess remarkable potential for targeted applications in the medical field, primarily due to their non-invasive, controllable properties. These unique qualities have garnered increased attention and fascination among researchers. However, these robotic systems do face challenges such as limited deformation capabilities and difficulties navigating confined spaces. Recently, researchers have turned their attention towards magnetic droplet robots, which are notable for their superior deformability, controllability, and potential for a range of applications such as automated virus detection and targeted drug delivery. Despite these advantages, the majority of current research is constrained to two-dimensional deformation and motion, thereby limiting their broader functionality. In response to these limitations, this study proposes innovative strategies for controlling deformation and achieving a three-dimensional (3D) trajectory in ferrofluidic robots. These strategies leverage a custom-designed eight-axis electromagnetic coil and a sliding mode controller. The implementation of these methods exhibits the potential of ferrofluidic robots in diverse applications, including microfluidic pump systems, 3D micromanipulation, and selective vascular occlusion. In essence, this study aims to broaden the capabilities of ferrofluidic robots, thereby enhancing their applicability across a multitude of fields such as medicine, micromanipulation, bioengineering, and more by maximizing the potential of these intricate robotic systems.

Graphical abstract: Combined three dimensional locomotion and deformation of functional ferrofluidic robots

Supplementary files

Article information

Article type
Paper
Submitted
30 mai 2023
Accepted
01 nov. 2023
First published
09 nov. 2023

Nanoscale, 2023,15, 19499-19513

Combined three dimensional locomotion and deformation of functional ferrofluidic robots

X. Fan, Y. Zhang, Z. Wu, H. Xie, L. Sun, T. Chen and Z. Yang, Nanoscale, 2023, 15, 19499 DOI: 10.1039/D3NR02535G

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