The constituents of many complex systems are characterized by non-trivial connectivity
patterns and dynamical processes that are well captured by network models. However, most …

In swarm robotics multiple robots collectively solve problems by forming advantageous
structures and behaviors similar to the ones observed in natural systems, such as swarms of …

Complex networks are ubiquitous: a cell, the human brain, a group of people and the
Internet are all examples of interconnected many-body systems characterized by …

Mobile microrobots, which can navigate, sense, and interact with their environment, could
potentially revolutionize biomedicine and environmental remediation. Many self-organizing …

Out of equilibrium, a lack of reciprocity is the rule rather than the exception. Non-reciprocity
occurs, for instance, in active matter,,,,–, non-equilibrium systems,–, networks of neurons …

Over the past two decades, complex network theory provided the ideal framework for
investigating the intimate relationships between the topological properties characterizing the …

My major motivation to think about swarm robotics is the question of how probabilistic local
actions of small robots sum up to rational global patterns shown by the swarm. For the …

We study the emergent behaviors of a population of swarming coupled oscillators, dubbed
swarmalators. Previous work considered the simplest, idealized case: identical …

When a large number of similar entities interact among each other and with their
environment at a low scale, unexpected outcomes at higher spatio-temporal scales might …

Chiral active matter comprises particles which can self-propel and self-rotate. Examples
range from sperm cells and bacteria near walls to autophoretic L-shaped colloids. In this …