Patch foraging is a near-ubiquitous behaviour across the animal kingdom and characterises
many decision-making domains encountered by humans. We review how a disposition to …

Multi-agent systems and multi-robot systems have been recognized as unique solutions to
complex dynamic tasks distributed in space. Their effectiveness in accomplishing these …

To effectively perform collective monitoring of dynamic environments, a robot swarm needs
to adapt to changes by processing the latest information and discarding outdated beliefs. We …

This paper proposes a novel swarm-based control algorithm for exploration and coverage of
unknown environments, while maintaining a formation that permits short-range …

We study a non-Markovian and nonstationary model of animal mobility incorporating both
exploration and memory in the form of preferential returns. Exact results for the probability of …

Lévy flight is a type of random walk that characterizes the behaviour of many natural
phenomena studied across a multiplicity of academic disciplines; within biology specifically …

Abstract Purpose of Review We review recent research on swarm robot foraging and
contextualize it with foundational work. Recent work can be divided into two complementary …

Many animal species benefit from spatial learning to adapt their foraging movements to the
distribution of resources. Learning involves the collection, storage and retrieval of …

Algorithms using swarming collective motion can solve coverage problems in unknown
environments by reacting to unknown obstacles in real-time when they are encountered …

Foragers within a group might increase individual foraging efficiencies by using public
information to assess local resource availability. This information is often expressed as a …