This paper reviews some main results and progress in distributed multi-agent coordination,
focusing on papers published in major control systems and robotics journals since 2006 …

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 …

Distributed controller design is generally a challenging task, especially for multi-agent
systems with complex dynamics, due to the interconnected effect of the agent dynamics, the …

The intelligent swarm concept has attracted much interest in recent years. Intelligent swarms
have been deployed in many real-world applications, such as transportations, target …

We review the state-of-the-art in the modelling of the aggregation and collective behavior of
interacting agents of similar size and body type, typically called swarming. Starting with …

We consider general stochastic systems of interacting particles with noise which are relevant
as models for the collective behavior of animals, and rigorously prove that in the mean-field …

Inferring the laws of interaction in agent-based systems from observational data is a
fundamental challenge in a wide variety of disciplines. We propose a nonparametric …

The well-known Cucker--Smale model is a macroscopic system reflecting flocking, ie, the
alignment of velocities in a group of autonomous agents having mutual interactions. In the …

We prove a general result of collision-avoiding flocking. The underlying model allows
several forms of coupling forces and the main result ensures flocking provided the initial …

Starting with the seminal papers of Reynolds (1987), Vicsek et al.(1995), Cucker–Smale
(2007), there has been a lot of recent works on models of self-alignment and consensus …