Unmanned aerial vehicles (UAVs), or aerial drones, are an emerging technology with
significant market potential. UAVs may lead to substantial cost savings in, for instance …

Challenged by urbanization and increasing travel needs, existing transportation systems
need new mobility paradigms. In this article, we present the emerging concept of …

We consider the problem of optimal trajectory tracking for unknown systems. A novel data-
enabled predictive control (DeePC) algorithm is presented that computes optimal and safe …

A learning model predictive controller for iterative tasks is presented. The controller is
reference-free and is able to improve its performance by learning from previous iterations. A …

This paper addresses the task scheduling and path planning problem for a team of
cooperating vehicles performing autonomous deliveries in urban environments. The …

In this paper we present queueing-theoretical methods for the modeling, analysis, and
control of autonomous mobility-on-demand (MOD) systems wherein robotic, self-driving …

The notion of the infinite population limit of large population games where agents are
realized by controlled stochastic dynamical systems is introduced. The theory of infinite …

In this paper, we analyze how drones can be combined with regular delivery vehicles to
improve same‐day delivery performance. To this end, we present a dynamic vehicle routing …

With recent advances in mobile robotics, autonomous systems, and artificial intelligence,
there is a growing expectation that robots are able to solve complex problems. Many of …

Same-day delivery has become a very important challenge for e-commerce providers.
However, effective delivery concepts are still not established. In this paper, we analyze the …