A celebrated and controversial hypothesis suggests that some biological systems—parts,
aspects, or groups of them—may extract important functional benefits from operating at the …

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 …

This paper presents a novel bio-inspired algorithm inspired by starlings' behaviors during
their stunning murmuration named starling murmuration optimizer (SMO) to solve complex …

We address a fundamental issue of collective motion of aerial robots: how to ensure that
large flocks of autonomous drones seamlessly navigate in confined spaces. The numerous …

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 …

The behavior of individuals determines the strength and outcome of ecological interactions,
which drive population, community, and ecosystem organization. Bio-logging, such as …

The SMART-BARN (scalable multimodal arena for real-time tracking behavior of animals in
large numbers) achieves fast, robust acquisition of movement, behavior, communication …

Active particles that are self-propelled by converting energy into mechanical motion
represent an expanding research realm in physics and chemistry. For micrometer-sized …

Active matter encompasses systems whose individual constituents dissipate energy to exert
propelling forces on their environment. These systems exhibit dynamical phenomena with …

The motion of self-propelled massive particles through a gaseous medium is dominated by
inertial effects. Examples include vibrated granulates, activated complex plasmas and flying …