Microrobots have attracted the attention of scientists owing to their unique features to
accomplish tasks in hard-to-reach sites in the human body. Microrobots can be precisely …

Abstract Machine learning (ML) has revolutionized robotics by enhancing perception,
adaptability, decision-making and more, enabling robots to work in complex scenarios …

3D printing (also called “additive manufacturing” or “rapid prototy**”) is able to translate
computer-aided and designed virtual 3D models into 3D tangible constructs/objects through …

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 …

Medical micro/nanorobots have received tremendous attention over the past decades owing
to their potential to be navigated into hard-to-reach tissues for a number of biomedical …

Abstract Machine Learning (ML) is one of the most exciting and dynamic areas of modern
research and application. The purpose of this review is to provide an introduction to the core …

We have demonstrated the effectiveness of reinforcement learning (RL) in bluff body flow
control problems both in experiments and simulations by automatically discovering active …

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 field of fluid mechanics is rapidly advancing, driven by unprecedented volumes of data
from experiments, field measurements, and large-scale simulations at multiple …

After decades of development, microrobots have exhibited great application potential in the
biomedical field, such as minimally invasive surgery, drug delivery, and bio‐sensing …