We study discrete-time finite-horizon optimal control problems in probability spaces,
whereby the state of the system is a probability measure. We show that, in many instances …

Swarm robot systems, which consist of many cooperating mobile robots, have attracted
attention for their environmental adaptability and fault tolerance advantages. One of the most …

In this paper, we consider a discrete-time stochastic control problem with uncertain initial
and target states. We first discuss the connection between optimal transport and stochastic …

We consider a setting in which one swarm of agents is to service or track a second swarm,
and formulate an optimal control problem which trades off between the competing objectives …

We consider problems of optimal motion control for multi-agent systems where assignments
as well as motions have costs. In particular, we consider a demand distribution and a …

We consider optimal swarm control problems where two different classes of agents are
present. Continuum idealizations of large-scale swarms are used where the dynamics …

We study the optimal control of fleets of identical particles (eg, robots, autonomous cars,
etc.), which we capture macroscopically as probability measures. First, we study fleet …