Haptic-Assisted Magnetic Navigation of Microswarm for Targeted Delivery in Dynamic Fluidic Environments

View at publisher
Authors: Ying Cao, Shengming Luo, Yanjia Yuan, Qijun Yang, Lifeng Zhu, Elahe Abdi, Xiaoyu Wang, Qianqian Wang
Cited by: 2
References: 44

Abstract

Microswarms face challenges in precise delivery within dynamic biological fluids due to fluid disturbances and limited operational intuitiveness. Current approaches insufficiently utilize the operator’s perceptual awareness and interactive decision-making capabilities, particularly in complex tasks that require a balance between flexibility and precision. In this study, we propose a haptic-assisted magnetic actuation control strategy, establishing a human-in-the-loop control framework. The haptic perception system provides the operator with haptic feedback reflecting the interactions between the microswarm and the environment. A real-time tracking system monitors the position and pattern of the controlled microswarm in remote environments, and transmits this information to the control system for decision-making. After characterizing the magnetic field parameters and magnetic nanoparticles, we have achieved real-time navigation and morphology modulation of the microswarm in dynamic flow conditions and three-dimensional (3D) space. Comparative experiments under various flow rate conditions demonstrate that the haptic-assisted strategy enhances microswarm control stability and precision across different flow regimes. Moreover, the human-machine collaboration mechanism improves delivery success rates (97%) under sudden disturbances compared to preprogrammed automated control and purely manual control, validating its potential for applications in complex biomedical scenarios. Our work provides a haptic-assisted microswarm control method in dynamic conditions, expanding an adaptive microswarm control strategy in complex biomedical environments.

Fields of Study & Subjects

Micro and Nano Robotics Underwater Vehicles and Communication Systems Distributed Control Multi-Agent Systems

Publication details

Journal / source
IEEE Transactions on Automation Science and Engineering
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
23
Pages
6641–6654
Publication date
1 January 2026