Animals, including humans, often achieve velocity alignment by observing their neighbors
from their own perspective rather than form a bird's-eye view. In this study, we explore a …

This paper outlines a methodology for the construction of vector fields that can enable a
multi-robot system moving on the plane to generate multiple dynamical behaviors by …

We consider the problem of characterizing the dynamics of interacting swarms after they
collide and form a stationary center of mass. Modeling efforts have shown that the collision …

The term “Swarm intelligence” outlines a broad scope, which is generally defined as the
collective behaviour of many individuals towards a certain task, each operating …

Swarm algorithms promise to solve certain problems in large multi-robot systems. The
evaluation of large swarms is however challenging as simulations alone often lack some …

Understanding swarm pattern formation is of great interest because it occurs naturally in
many physical and biological systems, and has artificial applications in robotics. In both …

Heterogeneity is a common feature in natural swarms, such as variations in mobility,
perception ability, etc., among particles. In this study, we investigate the collective behavior …

Swarming patterns that emerge from the interaction of many mobile agents are a subject of
great interest in fields ranging from biology to physics and robotics. In some application …

In cross-domain scenarios, the simultaneous presence of multiple sensing delays exerts a
profound influence on collective behavior. Motivated by this, our paper presents a system …

Dynamical emergent patterns of swarms are now fairly well established in nature and
include flocking and rotational states. Recently, there has been great interest in engineering …