Bacchetti Alistair, Lloyd Peter, Taccola Silvia, Fakhoury Evan, Cochran Sandy, Harris Russell A, Valdastri Pietro, Chandler James H
Centre for Medical and Industrial Ultrasonics, James Watt School of Engineering, University of Glasgow, Glasgow, United Kingdom.
Science and Technologies of Robotics in Medicine Laboratory, School of Electronic and Electrical Engineering, Faculty of Engineering and Physical Sciences, University of Leeds, Leeds, United Kingdom.
Front Robot AI. 2022 Nov 24;9:1040984. doi: 10.3389/frobt.2022.1040984. eCollection 2022.
Driven by the aim of realizing functional robotic systems at the milli- and submillimetre scale for biomedical applications, the area of magnetically driven soft devices has received significant recent attention. This has resulted in a new generation of magnetically controlled soft robots with patterns of embedded, programmable domains throughout their structures. This type of programmable magnetic profiling equips magnetic soft robots with shape programmable memory and can be achieved through the distribution of discrete domains (voxels) with variable magnetic densities and magnetization directions. This approach has produced highly compliant, and often bio-inspired structures that are well suited to biomedical applications at small scales, including microfluidic transport and shape-forming surgical catheters. However, to unlock the full potential of magnetic soft robots with improved designs and control, significant challenges remain in their compositional optimization and fabrication. This review considers recent advances and challenges in the interlinked optimization and fabrication aspects of programmable domains within magnetic soft robots. Through a combination of improvements in the computational capacity of novel optimization methods with advances in the resolution, material selection and automation of existing and novel fabrication methods, significant further developments in programmable magnetic soft robots may be realized.
受实现用于生物医学应用的毫米级和亚毫米级功能机器人系统这一目标的驱动,磁驱动软设备领域最近受到了极大关注。这催生了新一代磁控软机器人,其整个结构中都有嵌入式可编程区域的模式。这种可编程磁轮廓赋予磁软机器人形状可编程记忆功能,可通过分布具有可变磁密度和磁化方向的离散区域(体素)来实现。这种方法产生了高度柔顺且通常受生物启发的结构,非常适合小规模生物医学应用,包括微流体传输和形状形成手术导管。然而,为了通过改进设计和控制来释放磁软机器人的全部潜力,在其成分优化和制造方面仍存在重大挑战。本综述探讨了磁软机器人中可编程区域相互关联的优化和制造方面的最新进展与挑战。通过将新型优化方法的计算能力提升与现有及新型制造方法在分辨率、材料选择和自动化方面的进展相结合,可编程磁软机器人有望实现重大进一步发展。