Macroprogramming refers to the theory and practice of expressing the macro (scopic)
behaviour of a collective system using a single program. Macroprogramming approaches …

We present Buzz, a novel programming language for heterogeneous robot swarms. Buzz
advocates a compositional approach, offering primitives to define swarm behaviors both …

In this paper, we show how the Federated Learning (FL) framework enables learning
collectively from distributed data in connected robot teams. This framework typically works …

Robot swarms herald the ability to solve complex tasks using a large collection of simple
devices. However, engineering a robotic swarm is far from trivial, with a major hurdle being …

Many applications related to the Internet of Things, such as tracking people or objects,
robotics, and monitoring require the localization of large networks of devices in dynamic …

Designing and deploying autonomous swarms capable of performing collective tasks in real-
world is extremely challenging. One drawback of getting out of the lab is that realistic tasks …

Incorrect operation of a multi-robot system (MRS) may not only lead to unsatisfactory results,
but it can also cause economic losses and jeopardize safety. These risks may not always be …

The coordination of robot swarms-large decentralized teams of robots-generally relies on
robust and efficient inter-robot communication. Maintaining communication between robots …

From drones to self-driving cars, robot swarms are becoming pervasive and are used in
many kinds of applications. However, common" swarm libraries" for software development …

Connectivity maintenance is crucial for the real world deployment of multi-robot systems, as
it ultimately allows the robots to communicate, coordinate and perform tasks in a …