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 …

This work presents a review and discussion of the challenges that must be solved in order to
successfully develop swarms of Micro Air Vehicles (MAVs) for real world operations. From …

Swarm Intelligence (SI) is a popular multi-agent framework that has been originally inspired
by swarm behaviors observed in natural systems, such as ant and bee colonies. In a system …

We introduce AutoMoDe: a novel approach to the automatic design of control software for
robot swarms. The core idea in AutoMoDe recalls the approach commonly adopted in …

Automatic design is a promising approach to the design of control software for robot swarms.
In an automatic design method, the design problem is cast into an optimization problem and …

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 …

Designing collective behaviors for robot swarms is a difficult endeavor due to their fully
distributed, highly redundant, and ever-changing nature. To overcome the challenge, a few …

The field of Evolutionary Robotics addresses the challenge of automatically designing
robotic systems. Furthermore, the field can also support biological investigations related to …

Algorithms used in networking, operation research and optimization can be created using
bio-inspired swarm behaviors, but it is difficult to mimic swarm behaviors that generalize …

Although swarm robotics is widely recognized as a promising approach to coordinating
large groups of robots, a general methodology for designing collective behaviors for robot …