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.

Details

Title
Self-sensing intelligent microrobots for noninvasive and wireless monitoring systems
Author
Li, Zhongyi 1 ; Wang, Kun 2 ; Hou, Chaojian 2 ; Li, Chunyang 1   VIAFID ORCID Logo  ; Zhang, Fanqing 1 ; Ren, Wu 3 ; Dong, Lixin 2   VIAFID ORCID Logo  ; Zhao, Jing 1 

 Beijing Institute of Technology, School of Mechatronical Engineering, Beijing, China (GRID:grid.43555.32) (ISNI:0000 0000 8841 6246); Beijing Institute of Technology, Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing, China (GRID:grid.43555.32) (ISNI:0000 0000 8841 6246) 
 City University of Hong Kong, Department of Biomedical Engineering, Kowloon Tong, China (GRID:grid.35030.35) (ISNI:0000 0004 1792 6846) 
 Beijing Institute of Technology, School of Integrated Circuits and Electronics, Beijing, China (GRID:grid.43555.32) (ISNI:0000 0000 8841 6246) 
Pages
102
Publication year
2023
Publication date
2023
Publisher
Springer Nature B.V.
ISSN
20961030
e-ISSN
20557434
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2847569914
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.