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Self-sensing intelligent microrobots for noninvasive and wireless monitoring systems

Engineering and Technology

Self-sensing intelligent microrobots for noninvasive and wireless monitoring systems

Z. Li, K. Wang, et al.

Discover the groundbreaking self-sensing AI microrobot developed by Zhongyi Li, Kun Wang, Chaojian Hou, Chunyang Li, Fanqing Zhang, Wu Ren, Lixin Dong, and Jing Zhao. This innovative technology facilitates wireless, real-time environmental interaction and holds immense potential for minimally invasive in vivo monitoring, especially in disease locations, allowing for early diagnosis.

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~3 min • Beginner • English
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 microrobot 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 flexibility of the self-sensing AI microrobots for the development of in situ diagnosis or even therapeutic acting related to sensing signals.
Publisher
Microsystems & Nanoengineering
Published On
Authors
Zhongyi Li, Kun Wang, Chaojian Hou, Chunyang Li, Fanqing Zhang, Wu Ren, Lixin Dong, Jing Zhao
Tags
microrobot
self-sensing
wireless transmission
environmental response
minimally invasive monitoring
early diagnosis
magnetic tail
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