Through cooperation, robot swarms can perform tasks or solve problems that a single robot
from the swarm could not perform/solve by itself. However, it has been shown that a single …

While swarm robotics systems are often claimed to be highly fault-tolerant, so far research
has limited its attention to safe laboratory settings and has virtually ignored security issues in …

Neuro-evolution is an appealing approach to generating collective behaviors for robot
swarms. In its typical application, known as off-line automatic design, the neural networks …

Robot swarms mimic natural systems in which collective abilities emerge from the interaction
of individuals. So far, the swarm robotics literature has focused on the emergence of …

Motivation Scientists increasingly rely on intelligent information systems to help them in their
daily tasks, in particular for managing research objects, like publications or datasets. The …

The reality gap—the discrepancy between reality and simulation—is a critical issue in the off-
line automatic design of control software for robot swarms, as well as for single robots. It is …

In swarm robotics research, it is often assumed that robots do not have access to shared
knowledge. By sharing knowledge, however, it may become easier to determine whether the …

Research in swarm robotics has shown that robot swarms are effective in the exploration of
unknown environments. However, little work has been devoted to port the exploration …

Previous research has shown that automatically combining low-level behaviors into a
probabilistic finite state machine produces control software that crosses the reality gap …

Research in swarm robotics has shown that automatic design is an effective approach to
realize robot swarms. In automatic design methods, the collective behavior of a swarm is …