Data-Driven Parallel Adaptive Control for Magnetic Helical Microrobots With Derivative Structure in Uncertain Environments DOI
Huaping Wang, Shihao Zhong, Zhiqiang Zheng

et al.

IEEE Transactions on Systems Man and Cybernetics Systems, Journal Year: 2024, Volume and Issue: 54(7), P. 4139 - 4150

Published: March 27, 2024

Micron-range untethered, magnetic helical robots have great potential for biomedical applications due to their desirable performance with high flexibility and accuracy in unstructured confined environments. However, at the microscale, time-varying uncertain disturbances environment electromagnetic system greatly hinder microrobot tracking control performance. When a is replaced or even derivative version slight body structure change used different tasks, of original scheme remarkably decreases becomes ineffective. Here, we propose data-driven optimal integrated controller (D 2 -OIC) that realizes precise transfer among series microrobots derived structures situations. The approach has parallel nonlinear feedforward linear feedback controllers. inversely maps relationship between field state motion state, allowing quickly desired state. effectively adjusts parameters using virtual reference tuning (VRFT) method, thus eliminating any residual errors arising from control. By retraining on newly acquired collected cumulative data assigned weights, updated achieve various types. In experiment, two types performed arbitrary path obstacle avoidance tasks consistently less than 4% length, demonstrating feasibility proposed method.

Language: Английский

Dynamic morphological transformations in soft architected materials via buckling instability encoded heterogeneous magnetization DOI Creative Commons
Neng Xia, Dongdong Jin, Chengfeng Pan

et al.

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: Dec. 6, 2022

Abstract The geometric reconfigurations in three-dimensional morphable structures have a wide range of applications flexible electronic devices and smart systems with unusual mechanical, acoustic, thermal properties. However, achieving the highly controllable anisotropic transformation dynamic regulation architected materials crossing different scales remains challenging. Herein, we develop magnetic approach that provides an enabling technology to achieve unveil their modulation mechanism as well potential applications. With buckling instability encoded heterogeneous magnetization profiles inside soft materials, spatially temporally programmed inputs drive formation variety morphological transformations reconfiguration. introduction stimulation could help predetermine states enable definite without prolonged input. modulations can be exploited build switchable fluidic properties are demonstrated capabilities manipulation, selective particle trapping, sensitivity-enhanced biomedical analysis, robotics. work new insights harness programmable promises benefits microfluidics, metamaterials,

Language: Английский

Citations

29

Photothermal-Responsive Shape-Memory Magnetic Helical Microrobots with Programmable Addressable Shape Changes DOI
Fu Zhao, Weibin Rong, Lefeng Wang

et al.

ACS Applied Materials & Interfaces, Journal Year: 2023, Volume and Issue: 15(21), P. 25942 - 25951

Published: May 19, 2023

Faced with complex and diverse tasks, researchers seek to introduce stimuli-responsive materials into the field of microrobots. Magnetic helical microrobots based on shape-memory polymers demonstrate excellent locomotion capability programmable shape transformations. However, stimulation method changes is still dependent rising ambient temperature lacks ability address individuals among multiple In this paper, magnetic were prepared polylactic acid Fe3O4 nanoparticles, which demonstrated controlled under rotating fields in their length, diameter, chirality. The transition recoveries was adjusted a range above 37 °C. At 46 °C, had fast change recovery ratio 72% minute. photothermal effect nanoparticles near-infrared laser can actuate rapidly, 77% 15 s 90% strategy also allows addressing microrobots, or even within single microrobot, selectively stimulating one part its shape. Combined field, laser-addressed used for precise deployment individual control Multiple be enriched at targeted point, heating over internal parts help them grasp assemble objects. Such have great potential biomedicine micromanipulation.

Language: Английский

Citations

17

Magnetic Soft Matter toward Programmable and Multifunctional Miniature Machines DOI Creative Commons
Neng Xia, Dongdong Jin, Li Zhang

et al.

Accounts of Materials Research, Journal Year: 2024, Volume and Issue: 5(2), P. 173 - 183

Published: Jan. 22, 2024

ConspectusMiniature machines that are highly controllable have received widespread attention due to their potential applications in smart medicine and micromanipulation, especially those developed based on soft matter. The inherent compliance of matter can enhance the adaptability miniature a complex working environment or objects being manipulated. Furthermore, with rapid development materials science control technology, emergence various responsive matters has promoted remote even autonomous actuation capabilities as well reconfigurable properties. Despite burgeoning efforts devoted programming precise machines, exploration is still its infancy. Due nonlinearity response active matter, comprehensive understanding modeling deformation needed. Besides, systematic study on-demand material components physical properties at submillimeter, micro-, nanoscale levels also important. Hence, more in-depth research composition, mechanisms, methods needed promote construction novel practical future.Based regulation fields chemical substances, demonstrate shape-morphing without restraint. Among stimulation methods, magnetic strategy possesses outstanding advantages terms safety, controllability, penetration depth, which endow huge fundamental engineering applications. Programmable provides powerful platform explore patterns locomotion behaviors nature. Under action nonuniform torques generated by programmable stimulation, could undergo series morphological transformations. promising solution for developing optimized speed energy density. Therefore, through exquisite assembly structural design, composed compatible many application scenarios, biomedical engineering.In this Account, we provide overview recent significant advancements achieved our group others First, elucidate interaction mechanism between diverse agents available matrices including polymer matrices, liquid non-Newtonian fluids. We then illustrate encoding heterogeneous magnetization profile particle orientation, 3D transformations under (e.g., origami kirigami deformation, surface Gaussian curvature). Next, discussed, focusing devices, flexible electronics. Finally, an outlook prospects opportunities future

Language: Английский

Citations

8

Bacterial outer membrane vesicle nanorobot DOI Creative Commons
Songsong Tang, D. Tang, Houhong Zhou

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(30)

Published: July 15, 2024

Autonomous nanorobots represent an advanced tool for precision therapy to improve therapeutic efficacy. However, current nanorobotic designs primarily rely on inorganic materials with compromised biocompatibility and limited biological functions. Here, we introduce enzyme-powered bacterial outer membrane vesicle (OMV) nanorobots. The immobilized urease the OMV catalyzes decomposition of bioavailable urea, generating effective propulsion This nanorobot preserves unique features OMVs, including intrinsic biocompatibility, immunogenicity, versatile surface bioengineering desired biofunctionalities, capability cargo loading protection. We present OMV-based designed tumor by leveraging properties OMVs. These involve robotic body cell-penetrating peptide targeting penetration, which is further enhanced active Additionally, can effectively safeguard loaded gene silencing tool, small interfering RNA (siRNA), from enzymatic degradation. Through systematic in vitro vivo studies using a rodent model, demonstrate that these substantially siRNA delivery immune stimulation, resulting utmost effectiveness suppression when juxtaposed static groups, particularly evident orthotopic bladder model. opens inspiring avenue design medical robots expanded versatility adaptability, broadening their operation scope practical biomedical domains.

Language: Английский

Citations

8

Data-Driven Parallel Adaptive Control for Magnetic Helical Microrobots With Derivative Structure in Uncertain Environments DOI
Huaping Wang, Shihao Zhong, Zhiqiang Zheng

et al.

IEEE Transactions on Systems Man and Cybernetics Systems, Journal Year: 2024, Volume and Issue: 54(7), P. 4139 - 4150

Published: March 27, 2024

Micron-range untethered, magnetic helical robots have great potential for biomedical applications due to their desirable performance with high flexibility and accuracy in unstructured confined environments. However, at the microscale, time-varying uncertain disturbances environment electromagnetic system greatly hinder microrobot tracking control performance. When a is replaced or even derivative version slight body structure change used different tasks, of original scheme remarkably decreases becomes ineffective. Here, we propose data-driven optimal integrated controller (D 2 -OIC) that realizes precise transfer among series microrobots derived structures situations. The approach has parallel nonlinear feedforward linear feedback controllers. inversely maps relationship between field state motion state, allowing quickly desired state. effectively adjusts parameters using virtual reference tuning (VRFT) method, thus eliminating any residual errors arising from control. By retraining on newly acquired collected cumulative data assigned weights, updated achieve various types. In experiment, two types performed arbitrary path obstacle avoidance tasks consistently less than 4% length, demonstrating feasibility proposed method.

Language: Английский

Citations

7