The use of aerial swarms to solve real-world problems has been increasing steadily,
accompanied by falling prices and improving performance of communication, sensing, and …

The design of advanced guidance and control (G&C) systems for space/aerospace vehicles
has received a large amount of attention worldwide during the last few decades and will …

Cooperative control of multirobot systems (MRSs) has earned significant research interest
over the past two decades due to its potential applications in multidisciplinary engineering …

We present GLAS: Global-to-Local Autonomy Synthesis, a provably-safe, automated
distributed policy generation for multi-robot motion planning. Our approach combines the …

We present a survey on the application of fluid approximations, in the form of mean-field
models, to the design of control strategies in swarm robotics. Mean-field models that consist …

In this paper, we review multi-agent collective behavior algorithms in the literature and
classify them according to their underlying mathematical structure. For each mathematical …

This paper proposes a novel game-theoretical autonomous decision-making framework to
address a task allocation problem for a swarm of multiple agents. We consider cooperation …

In this article, we study the Schrödinger bridge problem (SBP) with nonlinear prior dynamics.
In control-theoretic language, this is a problem of minimum effort steering of a given joint …

This paper considers the problem of the deployment of a set of agents distributed on a disk-
shaped grid onto three-dimensional (3-D) profiles, by using a continuum approximation …

Deep reinforcement learning in continuous domains focuses on learning control policies that
map states to distributions over actions that ideally concentrate on the optimal choices in …