Swarm behaviors are common in nature, where individual organisms collaborate via
perception, communication, and adaptation. Emulating these dynamics, large groups of …

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 …

Swarm Robotics (SR) is an extension of the study of Multi-Robot Systems that exploits
concepts of communication, coordination and collaboration among a large number of robots …

Artificial microswimmers that can replicate the complex behavior of active matter are often
designed to mimic the self-propulsion of microscopic living organisms. However, compared …

The objective of area exploration is to traverse the area effectively and random walk
methods are the most commonly used searching strategy for swarm robots. Existing …

An environment can be searched far more efficiently if the appropriate search strategy is
used. Because of the limited individual abilities of swarm robots, namely, local sensing and …

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 …

Area coverage and collective exploration are key challenges for swarm robotics. Previous
research in this field has drawn inspiration from ant colonies, with real, or more commonly …

Background The foraging task is one of the canonical testbeds for cooperative robotics, in
which a collection of robots has to search and transport objects to specific storage point (s) …

Inspired by the behaviour of animal populations in nature, we propose a novel exploration
algorithm based on Lévy flight (LF) and artificial potential field (APF). The agent is extended …