We review the observations and the basic laws describing the essential aspects of collective
motion—being one of the most common and spectacular manifestation of coordinated …

Collective control of a multiagent system is concerned with designing strategies for a group
of autonomous agents operating in a networked environment. The aim is to achieve a global …

Many fish species gather by the thousands and swim in harmony with seemingly no effort.
Large schools display a range of impressive collective behaviors, from simple shoaling to …

We present a survey of formation control of multi-agent systems. Focusing on the sensing
capability and the interaction topology of agents, we categorize the existing results into …

Recent advances in technology are delivering robots of reduced size and cost. A natural
outgrowth of these advances are systems comprised of large numbers of robots that …

“I don't want to achieve immortality through my work... I want to achieve it through not dying.”—
Woody Allen The emergence of (relatively) cheap sensing and actuation nodes, capable of …

Graph neural networks (GNNs) are information processing architectures for signals
supported on graphs. They are presented here as generalizations of convolutional neural …

This note considers the problem of information consensus among multiple agents in the
presence of limited and unreliable information exchange with dynamically changing …

We consider the problem of finding distributed controllers for large networks of mobile robots
with interacting dynamics and sparsely available communications. Our approach is to learn …

Recent advances in miniaturizing of computing, communication, sensing, and actuation
have made it feasible to envision large numbers of autonomous vehicles (air, ground, and …