Swarm intelligence principles have been widely studied and applied to a number of different
tasks where a group of autonomous robots is used to solve a problem with a distributed …

Unmanned aerial vehicle (UAV) networks are playing an important role in various areas due
to their agility and versatility, which have attracted significant attentions from both the …

Due to the flying nature of unmanned aerial vehicles (UAVs), it is very attractive to deploy
UAVs as aerial base stations and construct airborne networks to provide service for on …

The ability to collectively choose the best among a finite set of alternatives is a fundamental
cognitive skill for robot swarms. In this paper, we propose a formal definition of the best-of-n …

We investigate how reliable movement can emerge in aggregates of highly error-prone
individuals. The individuals—robotic modules—move stochastically using vibration motors …

In flocking, a swarm of robots moves cohesively in a common direction. Traditionally,
flocking is realized using two main control rules: proximal control, which controls the …

In this paper, we introduce a distributed autonomous flocking behavior of Unmanned Aerial
Vehicles (UAVs) in demanding outdoor conditions, motivated by search and rescue …

Division of labor is ubiquitous in biological systems, as evidenced by various forms of
complex task specialization observed in both animal societies and multicellular organisms …

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

Collective motion is a fundamental operation of robot swarms by which a group of robots
move from a source to a destination in a cohesive way (ie, connectivity is preserved during …