In swarm robotics multiple robots collectively solve problems by forming advantageous
structures and behaviors similar to the ones observed in natural systems, such as swarms of …

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 …

Whereas naturally occurring swarms thrive when crowded, physical interactions in robotic
swarms are either avoided or carefully controlled, thus limiting their operational density …

Robotic swarms that take inspiration from nature are becoming a fascinating topic for multi-
robot researchers. The aim is to control a large number of simple robots in order to solve …

Pheromone-based communication is one of the most effective ways of communication
widely observed in nature. It is particularly used by social insects such as bees, ants and …

Aggregation in swarm robotics is referred to as the gathering of spatially distributed robots
into a single aggregate. Aggregation can be classified as cue-based or self-organized. In …

In this paper, we proposed a pheromone-based aggregation method based on the state-of-
the-art BEECLUST algorithm. We investigated the impact of pheromone-based …

Aggregation is one of the most fundamental behaviors and has been studied in swarm
robotic researches for more than two decades. Studies in biology have revealed that the …

Swarm robotics studies the intelligent collective behaviour emerging from long-term
interactions of large number of simple robots. However, maintaining a large number of …

In certain swarm applications, where the inter-agent distance is not the only factor in the
collective behaviours of the swarm, additional properties such as density could have a …