This paper presents a data-driven approach to learning vision-based collective behavior
from a simple flocking algorithm. We simulate a swarm of quadrotor drones and formulate …

Formation control in a robot swarm targets the overall swarm shape and relative positions of
individual robots during navigation. Existing approaches often use a global reference or …

Through simple rules and local interactions, social groups exhibit robust, scalable and
flexible global behaviors, which are useful for applications in engineering areas. In this …

The aim of this paper is to present a novel approach to swarm control of small fixed-wing
UAVs, which combines only two flocking behaviours with a leadership feature. In the …

This paper defines the research area of Diversity-enhanced Autonomy in Robot Teams
(DART), a novel paradigm for the creation and design of policies for multi-robot coordination …

In this paper we present a general, decentralized air traffic control solution using
autonomous drones. We challenge some of the most difficult dense traffic situations, namely …

Enabling coordinated motion of multiple quadrotors is an active area of research in the field
of small unmanned aerial vehicles (sUAVs). While there are many techniques found in the …

Many applications benefit from the use of multiple robots, but their scalability and
applicability are fundamentally limited when relying on a central control station. Getting …

The heterogeneous pigeon flock showed higher leadership stability than the homogeneous
flock. In this paper, a control model applied to manned aircraft and Unmanned Aerial Vehicle …

Increasing unmanned aerial vehicle (UAV) capabilities and decreasing costs have facilitated
growing interest in the development of large, multi-UAV systems, or swarms. The …