Advanced materials for micro/nanorobotics

Advanced materials for micro/nanorobotics

Článek WoS

Autonomous micro/nanorobots capable of performing programmed missions are at the forefront of next-generation micromachinery. These small robotic systems are predominantly constructed using functional components sourced from micro- and nanoscale materials; therefore, combining them with various advanced materials represents a pivotal direction toward achieving a higher level of intelligence and multifunctionality. This review provides a comprehensive overview of advanced materials for innovative micro/nanorobotics, focusing on the five families of materials that have witnessed the most rapid advancements over the last decade: two-dimensional materials, metal-organic frameworks, semiconductors, polymers, and biological cells. Their unique physicochemical, mechanical, optical, and biological properties have been integrated into micro/nanorobots to achieve greater maneuverability, programmability, intelligence, and multifunctionality in collective behaviors. The design and fabrication methods for hybrid robotic systems are discussed based on the material categories. In addition, their promising potential for powering motion and/or (multi-)functionality is described and the fundamental principles underlying them are explained. Finally, their extensive use in a variety of applications, including environmental remediation, (bio)sensing, therapeutics, etc., and remaining challenges and perspectives for future research are discussed. This review explores advanced materials in micro/nanorobotics, focusing on five key material families that enhance robotic functionality and intelligence, and discusses their applications and future perspectives.

Autonomous micro/nanorobots capable of performing programmed missions are at the forefront of next-generation micromachinery. These small robotic systems are predominantly constructed using functional components sourced from micro- and nanoscale materials; therefore, combining them with various advanced materials represents a pivotal direction toward achieving a higher level of intelligence and multifunctionality. This review provides a comprehensive overview of advanced materials for innovative micro/nanorobotics, focusing on the five families of materials that have witnessed the most rapid advancements over the last decade: two-dimensional materials, metal-organic frameworks, semiconductors, polymers, and biological cells. Their unique physicochemical, mechanical, optical, and biological properties have been integrated into micro/nanorobots to achieve greater maneuverability, programmability, intelligence, and multifunctionality in collective behaviors. The design and fabrication methods for hybrid robotic systems are discussed based on the material categories. In addition, their promising potential for powering motion and/or (multi-)functionality is described and the fundamental principles underlying them are explained. Finally, their extensive use in a variety of applications, including environmental remediation, (bio)sensing, therapeutics, etc., and remaining challenges and perspectives for future research are discussed. This review explores advanced materials in micro/nanorobotics, focusing on five key material families that enhance robotic functionality and intelligence, and discusses their applications and future perspectives.

metal-organic frameworks; magnetotactic bacteria; Janus micromotors; carbon-nitride; driven microswimmers; tubular microengines; recent progress; cargo delivery; light; remova

metal-organic frameworks; magnetotactic bacteria; Janus micromotors; carbon-nitride; driven microswimmers; tubular microengines; recent progress; cargo delivery; light; remova

KIM, J.; MAYORGA BURREZO, P.; SONG, S.; MAYORGA-MARTINEZ, C.; MEDINA-SANCHEZ, M.; PANE, S.; PUMERA, M.

2025

16.09.2024

ROYAL SOC CHEMISTRY

CAMBRIDGE

1460-4744

CHEMICAL SOCIETY REVIEWS

53

18

Spojené království Velké Británie a Severního Irska

9190

9253

64

https://pubs.rsc.org/en/content/articlelanding/2024/cs/d3cs00777d

http://hdl.handle.net/11012/250789

d3cs00777d