Autonomous 3D positional control of a magnetic microrobot using reinforcement learning DOI
Sarmad Ahmad Abbasi, Awais Ahmed,

Seungmin Noh

et al.

Nature Machine Intelligence, Journal Year: 2024, Volume and Issue: 6(1), P. 92 - 105

Published: Jan. 10, 2024

Language: Английский

Multimodal‐Driven Magnetic Microrobots with Enhanced Bactericidal Activity for Biofilm Eradication and Removal from Titanium Mesh DOI Creative Commons
Carmen C. Mayorga‐Martinez, Jaroslav Zelenka, Karel Klíma

et al.

Advanced Materials, Journal Year: 2023, Volume and Issue: 35(23)

Published: March 30, 2023

Modern micro/nanorobots can perform multiple tasks for biomedical and environmental applications. Particularly, magnetic microrobots be completely controlled by a rotating field their motion powered without the use of toxic fuels, which makes them most promising application. Moreover, they are able to form swarms, allowing specific at larger scale than single microrobot. In this work, developed composed halloysite nanotubes as backbone iron oxide (Fe3 O4 ) nanoparticles material propulsion covered these with polyethylenimine load ampicillin prevent from disassembling. These exhibit multimodal robots well in swarms. addition, transform tumbling spinning vice-versa, when swarm mode change vortex ribbon back again. Finally, is used penetrate disrupt extracellular matrix Staphylococcus aureus biofilm colonized on titanium mesh bone restoration, improves effect antibiotic's activity. Such removal medical implants could reduce implant rejection improve patients' well-being.

Language: Английский

Citations

42

Micro/Nanorobotic Swarms: From Fundamentals to Functionalities DOI
Junhui Law, Jiangfan Yu, Wentian Tang

et al.

ACS Nano, Journal Year: 2023, Volume and Issue: 17(14), P. 12971 - 12999

Published: July 11, 2023

Swarms, which stem from collective behaviors among individual elements, are commonly seen in nature. Since two decades ago, scientists have been attempting to understand the principles of natural swarms and leverage them for creating artificial swarms. To date, underlying physics; techniques actuation, navigation, control; field-generation systems; a research community now place. This Review reviews fundamental applications micro/nanorobotic The generation mechanisms emergent micro/nanoagents identified over past elucidated. advantages drawbacks different techniques, existing control systems, major challenges, potential prospects discussed.

Language: Английский

Citations

42

Skin-inspired, sensory robots for electronic implants DOI Creative Commons
Lin Zhang, Sicheng Xing, Haifeng Yin

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: June 5, 2024

Abstract Drawing inspiration from cohesive integration of skeletal muscles and sensory skins in vertebrate animals, we present a design strategy soft robots, primarily consisting an electronic skin (e-skin) artificial muscle. These robots integrate multifunctional sensing on-demand actuation into biocompatible platform using in-situ solution-based method. They feature biomimetic designs that enable adaptive motions stress-free contact with tissues, supported by battery-free wireless module for untethered operation. Demonstrations range robotic cuff detecting blood pressure, to gripper tracking bladder volume, ingestible robot pH on-site drug delivery, patch quantifying cardiac function delivering electrotherapy, highlighting the application versatilities potentials bio-inspired robots. Our establish universal broad responsive materials, form integrated medical technology beyond.

Language: Английский

Citations

35

Materials consideration for the design, fabrication and operation of microscale robots DOI
Chuanrui Chen, Shichao Ding, Joseph Wang

et al.

Nature Reviews Materials, Journal Year: 2024, Volume and Issue: 9(3), P. 159 - 172

Published: Feb. 8, 2024

Language: Английский

Citations

34

Autonomous 3D positional control of a magnetic microrobot using reinforcement learning DOI
Sarmad Ahmad Abbasi, Awais Ahmed,

Seungmin Noh

et al.

Nature Machine Intelligence, Journal Year: 2024, Volume and Issue: 6(1), P. 92 - 105

Published: Jan. 10, 2024

Language: Английский

Citations

31