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用于无创和无线监测系统的自感应智能微型机器人。

Self-sensing intelligent microrobots for noninvasive and wireless monitoring systems.

作者信息

Li Zhongyi, Wang Kun, Hou Chaojian, Li Chunyang, Zhang Fanqing, Ren Wu, Dong Lixin, Zhao Jing

机构信息

School of Mechatronical Engineering, Beijing Institute of Technology, 100081 Beijing, China.

Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, 100081 Beijing, China.

出版信息

Microsyst Nanoeng. 2023 Aug 9;9:102. doi: 10.1038/s41378-023-00574-4. eCollection 2023.

Abstract

Microrobots have garnered tremendous attention due to their small size, flexible movement, and potential for various in situ treatments. However, functional modification of microrobots has become crucial for their interaction with the environment, except for precise motion control. Here, a novel artificial intelligence (AI) microrobot is designed that can respond to changes in the external environment without an onboard energy supply and transmit signals wirelessly in real time. The AI microrobot can cooperate with external electromagnetic imaging equipment and enhance the local radiofrequency (RF) magnetic field to achieve a large penetration sensing depth and a high spatial resolution. The working ranges are determined by the structure of the sensor circuit, and the corresponding enhancement effect can be modulated by the conductivity and permittivity of the surrounding environment, reaching ~560 times at most. Under the control of an external magnetic field, the magnetic tail can actuate the microrobotic agent to move accurately, with great potential to realize in situ monitoring in different places in the human body, almost noninvasively, especially around potential diseases, which is of great significance for early disease discovery and accurate diagnosis. In addition, the compatible fabrication process can produce swarms of functional microrobots. The findings highlight the feasibility of the self-sensing AI microrobots for the development of in situ diagnosis or even treatment according to sensing signals.

摘要

微型机器人因其体积小、运动灵活以及具备进行各种原位治疗的潜力而备受关注。然而,除了精确的运动控制外,微型机器人的功能改性对于其与环境的相互作用变得至关重要。在此,设计了一种新型人工智能(AI)微型机器人,它无需机载能量供应就能响应外部环境的变化,并能实时无线传输信号。该AI微型机器人可与外部电磁成像设备协作,增强局部射频(RF)磁场,以实现较大的穿透传感深度和高空间分辨率。工作范围由传感器电路的结构决定,相应的增强效果可由周围环境的电导率和介电常数调制,最大可达约560倍。在外部磁场的控制下,磁性尾部可驱动微型机器人精确移动,具有在人体不同部位几乎无创地实现原位监测的巨大潜力,尤其是在潜在疾病周围,这对于早期疾病发现和准确诊断具有重要意义。此外,兼容的制造工艺可生产成群的功能性微型机器人。这些发现突出了自传感AI微型机器人根据传感信号进行原位诊断甚至治疗开发的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521a/10409863/44c1297c1c65/41378_2023_574_Fig1_HTML.jpg

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