%0 Journal Article %1 bacchetti2022optimization %A Bacchetti, Alistair %A Lloyd, Peter %A Taccola, Silvia %A Fakhoury, Evan %A Cochran, Sandy %A Harris, Russell A. %A Valdastri, Pietro %A Chandler, James H. %D 2022 %J Frontiers in Robotics and AI %K (BI),design advanced and design fabrication,bio-inspired magnetic material materials,magnetic optimization,magnetic profiling,soft robots robots,programmable soft %R 10.3389/frobt.2022.1040984 %T Optimization and fabrication of programmable domains for soft magnetic robots: A review %V 9 %X 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.

@article{bacchetti2022optimization, abstract = {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.}, added-at = {2023-05-10T16:23:27.000+0200}, author = {Bacchetti, Alistair and Lloyd, Peter and Taccola, Silvia and Fakhoury, Evan and Cochran, Sandy and Harris, Russell A. and Valdastri, Pietro and Chandler, James H.}, biburl = {https://www.bibsonomy.org/bibtex/24977d8e6a31c1024e9acb0b896f4fb8a/sassw}, doi = {10.3389/frobt.2022.1040984}, interhash = {515194350b971b7cef900e56c66ee312}, intrahash = {4977d8e6a31c1024e9acb0b896f4fb8a}, issn = {22969144}, journal = {Frontiers in Robotics and AI}, keywords = {(BI),design advanced and design fabrication,bio-inspired magnetic material materials,magnetic optimization,magnetic profiling,soft robots robots,programmable soft}, timestamp = {2023-05-10T16:23:27.000+0200}, title = {{Optimization and fabrication of programmable domains for soft magnetic robots: A review}}, volume = 9, year = 2022 }