Swarm robotics is an approach to collective robotics that takes inspiration from the self-
organized behaviors of social animals. Through simple rules and local interactions, swarm …

How does the size of a swarm affect its collective action? Despite being arguably a key
parameter, no systematic and satisfactory guiding principles exist to select the number of …

How groups of cooperative foragers can achieve efficient and robust collective foraging is of
interest both to biologists studying social insects and engineers designing swarm robotics …

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 …

Methods of general applicability are searched for in swarm intelligence with the aim of
gaining new insights about natural swarms and to develop design methodologies for …

The uniting idea of both parallel computing and multi-robot systems is that having multiple
processors or robots working on a task decreases the processing time. Typically we desire a …

Recent advances in 3D printing and manufacturing of miniaturized robotic hardware and
computing are paving the way to build inexpensive and disposable robots. This will have a …

The ability to perform well in the presence of noise is an important consideration when
evaluating the effectiveness of a collective decision-making framework. Any system …

Similarly to evolving controllers for single robots also controllers for groups of robots can be
generated by applying evolutionary algorithms. Usually a fitness function rewards desired …

Designing a robot swarm is challenging due to its self-organized and distributed nature:
complex relations exist between the behavior of the individual robots and the collective …