Swimming Performance Enhancement of the Magnetic Helical Microrobots Based on Surface Microstructure Modification

Magnetic helical microrobots have attracted considerable attraction in microscale targeted delivery due to their high propulsion efficiency and movement flexibility. However, for biomedical applications in unstructured and multibranched liquid environments, the capabilities of high swimming performance and precise selective control over a robot group of are essential. Here, we introduce a method for achieving high-performance propulsion and selective control of individual magnetic microrobots within a group by modulating surface wettability through localized surface microstructure modifications. We treated the surface of the helical microrobots with dimples and pimples of varying diameters and spacings to effectively distinguish the wettability. Our findings demonstrate that helical microrobots after surface modification exhibit higher step-out frequencies (ω<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">step-out</sub>) and maximum velocities (v<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r-max</sub>), where the modified microrobots become more hydrophobic compared to the microrobots before modification. The variation of microrobots' step-out frequencies (ω<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">step-out</sub>) and the maximum velocities (v<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r-max</sub>) correlate positively with the surface hydrophobicity. The swimming performance on the surface-modified microrobots is performed which demonstrates a maximum increase of 67% in forward velocity and 76% in step-out frequency. Furthermore, our method was effectively employed to actuate a helical microrobots group to achieve selective navigation in a multi-branched microchannel. We anticipate that this approach can be applied to achieve highefficiency and precise targeted delivery in biomedical applications.

Authors

Institutions

Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2025-04-03
DOI
https://doi.org/10.1109/lra.2025.3557225
Citations
5
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
6.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Swimming Performance Enhancement of the Magnetic Helical Microrobots Based on Surface Microstructure Modification

Shihao Zhong, Yaozhen Hou, Toshio Fukuda, Kailun Bai et al.
5 citations
IEEE Robotics and Automation Letters
Micro and Nano Robotics
6.29
article

Swimming Performance Enhancement of the Magnetic Helical Microrobots Based on Surface Microstructure Modification

Shihao Zhong, Yaozhen Hou, Toshio Fukuda, Kailun Bai, Qiang Huang, Huaping Wang, Zhiqiang Zheng, Fangxing Li, Qing Shi
article en
5 citations

Abstract

Magnetic helical microrobots have attracted considerable attraction in microscale targeted delivery due to their high propulsion efficiency and movement flexibility. However, for biomedical applications in unstructured and multibranched liquid environments, the capabilities of high swimming performance and precise selective control over a robot group of are essential. Here, we introduce a method for achieving high-performance propulsion and selective control of individual magnetic microrobots within a group by modulating surface wettability through localized surface microstructure modifications. We treated the surface of the helical microrobots with dimples and pimples of varying diameters and spacings to effectively distinguish the wettability. Our findings demonstrate that helical microrobots after surface modification exhibit higher step-out frequencies (ω<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">step-out</sub>) and maximum velocities (v<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r-max</sub>), where the modified microrobots become more hydrophobic compared to the microrobots before modification. The variation of microrobots' step-out frequencies (ω<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">step-out</sub>) and the maximum velocities (v<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r-max</sub>) correlate positively with the surface hydrophobicity. The swimming performance on the surface-modified microrobots is performed which demonstrates a maximum increase of 67% in forward velocity and 76% in step-out frequency. Furthermore, our method was effectively employed to actuate a helical microrobots group to achieve selective navigation in a multi-branched microchannel. We anticipate that this approach can be applied to achieve highefficiency and precise targeted delivery in biomedical applications.

IEEE Robotics and Automation LettersVol. 10(6)
Beijing Institute of Technology (CN), City University of Hong Kong (HK), Nagoya University (JP)
Openalex Percentile: Top 4%
Micro and Nano Robotics
6.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.