Autonomous underwater vehicles (AUVs) are submersible underwater vehicles controlled
by onboard computers. AUV formation is a cooperative control which focuses on controlling …

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 …

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 …

In this paper, we deepen the analysis of continuous time Fictitious Play learning algorithm to
the consideration of various finite state Mean Field Game settings (finite horizon, $\gamma …

A swarm of robots is the coordination of multiple robots that can perform a collective task and
solve a problem more efficiently than a single robot. Over the last decade, this area of …

Swarm robotics is the study of how to design groups of robots that operate without relying on
any external infrastructure or on any form of centralized control. In a robot swarm, the …

We present a case study of swarmalators (mobile oscillators) that move on a 1D ring and are
subject to pinning. Previous work considered the special case where the pinning in space …

Robot swarms are groups of robots that each act autonomously based on only local
perception and coordination with neighboring robots. While current swarm implementations …

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 …

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 …