Development of an Electromagnetic Coil Array System for Large-Scale Ferrofluid Droplet Robots Programmable Control

Programmable manipulation of fluid-based soft robots has recently attracted considerable attention. Achieving parallel control of large-scale ferrofluid droplet robots (FDRs) is still one of the major challenges that remain unsolved. In this article, we develop a distributed magnetic field control platform to generate a series of localized magnetic fields that enable the simultaneous control of many FDRs, allowing teams of FDRs to collaborate in parallel for multifunctional manipulation tasks. Based on the mathematical model using the finite element method, we first evaluate the distribution properties of the local magnetic fields as well as the gradients generated by individual electromagnets. Meanwhile, the locomotion and deformation behavior of the FDR is also characterized to verify the actuation performance of the developed system. Subsequently, a vision-based closed-loop feedback control strategy is then presented, which aims to achieve path tracking of multiple robot formations. Thermal analysis shows that the system's low output power enables reliable and sustained long-term operation. Finally, the developed system is tested through extensive physical experiments with different numbers of FDRs. The results demonstrate the potential of the designed setup in manipulating dozens of FDRs for digital display, message encoding, and microfluidic logistics. To the best of our knowledge, this is the first attempt that allows independent control of such scale droplet robots (up to 72) for cooperative applications.

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Publication Details

Journal
IEEE Transactions on Robotics
Published
2025-01-01
DOI
https://doi.org/10.1109/tro.2025.3584430
Citations
2
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
1.43
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article

Development of an Electromagnetic Coil Array System for Large-Scale Ferrofluid Droplet Robots Programmable Control

Juntian Qu, Tian Qiu, Baijin Mao, Guangming Cui et al.
2 citations
IEEE Transactions on Robotics
Modular Robots and Swarm Intelligence
1.43
article

Development of an Electromagnetic Coil Array System for Large-Scale Ferrofluid Droplet Robots Programmable Control

Juntian Qu, Tian Qiu, Baijin Mao, Guangming Cui, Xianrui Zhang, Qigao Fan, Yueyue Liu, Ang Liu, Haozhi Huang, Yining Xu
article en
2 citations

Abstract

Programmable manipulation of fluid-based soft robots has recently attracted considerable attention. Achieving parallel control of large-scale ferrofluid droplet robots (FDRs) is still one of the major challenges that remain unsolved. In this article, we develop a distributed magnetic field control platform to generate a series of localized magnetic fields that enable the simultaneous control of many FDRs, allowing teams of FDRs to collaborate in parallel for multifunctional manipulation tasks. Based on the mathematical model using the finite element method, we first evaluate the distribution properties of the local magnetic fields as well as the gradients generated by individual electromagnets. Meanwhile, the locomotion and deformation behavior of the FDR is also characterized to verify the actuation performance of the developed system. Subsequently, a vision-based closed-loop feedback control strategy is then presented, which aims to achieve path tracking of multiple robot formations. Thermal analysis shows that the system's low output power enables reliable and sustained long-term operation. Finally, the developed system is tested through extensive physical experiments with different numbers of FDRs. The results demonstrate the potential of the designed setup in manipulating dozens of FDRs for digital display, message encoding, and microfluidic logistics. To the best of our knowledge, this is the first attempt that allows independent control of such scale droplet robots (up to 72) for cooperative applications.

IEEE Transactions on RoboticsVol. 41
Jiangnan University (CN), German Cancer Research Center (DE), University Town of Shenzhen (CN), Tsinghua University (CN)
Affordable and clean energy
Openalex Percentile: Top 19%
Modular Robots and Swarm Intelligence
1.43
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