Smart materials for microrobots

F Soto, E Karshalev, F Zhang… - Chemical …, 2021 - ACS Publications
Over the past 15 years, the field of microrobotics has exploded with many research groups
from around the globe contributing to numerous innovations that have led to exciting new …

Controlled propulsion of micro/nanomotors: operational mechanisms, motion manipulation and potential biomedical applications

T Liu, L **e, CAH Price, J Liu, Q He… - Chemical Society Reviews, 2022 - pubs.rsc.org
Inspired by natural mobile microorganisms, researchers have developed micro/nanomotors
(MNMs) that can autonomously move by transducing different kinds of energies into kinetic …

Autonomous environment-adaptive microrobot swarm navigation enabled by deep learning-based real-time distribution planning

L Yang, J Jiang, X Gao, Q Wang, Q Dou… - Nature Machine …, 2022 - nature.com
Navigating a large swarm of micro-/nanorobots is critical for potential targeted
delivery/therapy applications owing to the limited volume/function of a single microrobot, and …

Machine learning for micro-and nanorobots

L Yang, J Jiang, F Ji, Y Li, KL Yung, A Ferreira… - Nature Machine …, 2024 - nature.com
Abstract Machine learning (ML) has revolutionized robotics by enhancing perception,
adaptability, decision-making and more, enabling robots to work in complex scenarios …

Modeling active colloids: From active brownian particles to hydrodynamic and chemical fields

A Zöttl, H Stark - Annual Review of Condensed Matter Physics, 2023 - annualreviews.org
Active colloids are self-propelled particles moving in viscous fluids by consuming fuel from
their surroundings. Here, we review the numerical and theoretical modeling of active …

Heat-mediated optical manipulation

Z Chen, J Li, Y Zheng - Chemical reviews, 2021 - ACS Publications
Progress in optical manipulation has stimulated remarkable advances in a wide range of
fields, including materials science, robotics, medical engineering, and nanotechnology. This …

Machine learning for active matter

F Cichos, K Gustavsson, B Mehlig… - Nature Machine …, 2020 - nature.com
The availability of large datasets has boosted the application of machine learning in many
fields and is now starting to shape active-matter research as well. Machine learning …

The 2020 motile active matter roadmap

G Gompper, RG Winkler, T Speck… - Journal of Physics …, 2020 - iopscience.iop.org
Activity and autonomous motion are fundamental in living and engineering systems. This
has stimulated the new field of'active matter'in recent years, which focuses on the physical …

Control and autonomy of microrobots: Recent progress and perspective

J Jiang, Z Yang, A Ferreira… - Advanced Intelligent …, 2022 - Wiley Online Library
After decades of development, microrobots have exhibited great application potential in the
biomedical field, such as minimally invasive surgery, drug delivery, and bio‐sensing …

Autonomous 3D positional control of a magnetic microrobot using reinforcement learning

SA Abbasi, A Ahmed, S Noh, NL Gharamaleki… - Nature Machine …, 2024 - nature.com
Magnetic microrobots have shown promise in the field of biomedical engineering, facilitating
precise drug delivery, non-invasive diagnosis and cell-based therapy. Current techniques …