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Multidimensional additive manufacturing micro/nanorobots: from elaborate design to smart cargo delivery
Yuxuan Zhang1,2, Guokai Zeng1,3, Fang Qin4
1Experimental Education/Administration Center, National Demonstration Center for Experimental Education of Basic Medical Sciences, Key Laboratory of Functional Proteomics of Guangdong Province, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China. liukun09@smu.edu.cn.
Multidimensional additive manufacturing (MAM) enables the creation of complex micro/nanorobots for precise biomedical tasks. Emerging MAM techniques promise more sophisticated and intelligent robots for future clinical applications.
Area of Science:
- Biomedical Engineering
- Materials Science
- Robotics
Background:
- Micro/nanorobots offer high-precision capabilities for in-body tasks like targeted drug delivery and minimally invasive surgery.
- Traditional manufacturing methods face limitations in complexity and customization for micro/nanorobot fabrication.
Purpose of the Study:
- To provide a comprehensive review of multidimensional additive manufacturing (MAM) technologies for micro/nanorobot construction.
- To explore the applications and challenges of MAM in the biomedical field.
- To highlight emerging MAM approaches for advanced micro/nanorobot development.
Main Methods:
- Review of existing literature on multidimensional additive manufacturing (MAM) techniques.
- Analysis of MAM's advantages over traditional methods in micro/nanorobot fabrication.
- Exploration of advanced MAM concepts like 4D, 5D, and 6D printing.
Main Results:
- MAM facilitates the design and fabrication of complex, multifunctional micro/nanorobots with reduced production time and enhanced customization.
- MAM offers significant advantages in design flexibility and complexity compared to conventional manufacturing.
- Emerging MAM approaches integrated with AI and machine learning show promise for intelligent micro/nanorobot design.
Conclusions:
- MAM is a key technology for advancing micro/nanorobot development in biomedicine.
- Future directions include leveraging AI-assisted MAM for sophisticated and intelligent micro/nanorobots.
- Advanced MAM holds potential for accelerating the clinical translation of micro/nanorobots.
