Robots performing automated tasks in uncontrolled environments need to adapt to
environmental changes. Through building large collectives of robots, this robust and …

In time-critical situations such as rescue missions, effective exploration is essential.
Exploration of such unknown environments may be achieved through the dispersion of a …

In this thesis, the development of a social, reinforcement learning-based aggregation
method is covered together with the development of a mobile robot swarm of Kobot-Tracked …

A swarm of robots may face challenges in unknown environments where self-assembly is a
necessity eg crossing difficult areas. When exploring such environments, the self-assembly …

This report explores the possibilities of using repellent pheromones in order to achieve
efficient dispersion of a swarm of robots. The goal is to have a set of autonomous robots …

In recent study, an increasing amount of time has been spent researching complex systems
due to the traditional Von Neumann architecture lacking sufficient efficiency. A specific …

Energy autonomy is one of the main challenges in robot exploration. The Marsu fleet, a
marsupial robot society, is composed of two kinds of robots, the Marsu-bots (explorers) and …

Energy autonomy is one of the main challenges in robot exploration. The Marsu fleet, a
marsupial robot society, is composed of two kinds of robots, the Marsu-bots (explorers) and …

In this thesis we will explain the design process of the ChIRP robot platform. We will also test
and validate the platform as a tool in cooperative AI research. The testing and validation will …

Energy autonomy is one of the main challenges in robot exploration. The Marsu fleet, a
marsupial robot society, is composed of two kinds of robots, the Marsu-bots (explorers) and …