AI-enhanced biomedical micro/nanorobots in microfluidics.
Hui Dong1,2,3, Jiawen Lin1, Yihui Tao4
1School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China. sh@fzu.edu.cn.
Lab on a Chip
|January 4, 2024
Summary
Artificial intelligence (AI) enhances micro/nanorobots (MNRs) for microfluidics, improving control, sensing, and collective behavior. This technology promises significant advancements in biomedical research and human health.
Area of Science:
- Biomedical Engineering
- Microfluidics
- Robotics
Background:
- Microfluidic systems are crucial for understanding human physiological mechanisms in vitro.
- Micro/nanorobots (MNRs) offer dynamic tools for studying complex microfluidic processes.
- Artificial intelligence (AI) integration is revolutionizing MNR capabilities.
Purpose of the Study:
- To review AI algorithms and their application in developing MNRs for microfluidics.
- To highlight AI-enhanced MNRs' motion control, sensing, and collective behavior.
- To explore the impact of AI-enhanced MNRs on biomedical research and human health.
Main Methods:
- Introduction of AI algorithms integral to MNR development.
- Review of components, designs, and fabrication techniques for microfluidic robots with AI.
- Focus on recent research concerning AI-enhanced MNRs in microfluidics.
Main Results:
- AI significantly enhances MNR motion control, environment perception, and swarm intelligence.
- AI-driven MNRs demonstrate advanced capabilities in sensing and collective behavior within microfluidic environments.
- Emerging applications of AI-enhanced MNRs are poised to transform biomedical research.
Conclusions:
- AI-enhanced MNRs represent a significant interdisciplinary advancement with high potential for biomedical applications.
- Continued research and development are crucial to overcome challenges and realize the full potential of this technology for human health.
