In this study, we present a novel hybrid algorithm, combining Levy Flight (LF) and Particle
Swarm Optimization (PSO)(LF-PSO), tailored for efficient multi-robot exploration in unknown …

We consider typical scenarios where an autonomous multi-robot team is used for surveying
a large region. The desired output is a spatial map of the physical values of interest …

Nowadays, laser vision systems have allowed the development of different applications
such as reverse engineering, manufacturing, navigation systems and, structural health …

Swarm-robotic approaches to search and target localization, where target sources emit a
spatially varying signal, promise unparalleled time efficiency and robustness. With most …

We present a novel approach for informative path planning in multi-robot systems for
mapping under time and communication constraints. The approach is based on modeling …

Swarm control strategies allow for decentralized control of many simple robots to perform
collective behaviors based on local interactions. Despite the broad applications of swarm …

For several decades, cooperative control of autonomous mobile robots has been an active
research area with potential applications in dynamic areas such as agriculture, industrial …

Adaptive navigation is a subcategory of navigation techniques that attempts to identify goal
locations that satisfy specific criteria in an unknown area. In 2D scalar field adaptive …

This thesis is split into four main chapters. Chapter one focuses on existing efforts to scale
multi-robot algorithms, and some of their difficulties this paper strives to alleviate. In chapter …

We consider scenarios where a mobile multi-robot system is used for mapping a spatial
field. Gaussian processes are a widely employed regression model for this type of tasks. For …