Master and Bachelor Thesis Topics

Unless stated otherwise, all topics are offered at the Alpen-Adria-Universität Klagenfurt at the group of Prof. Wilfried Elmenreich.

Implementation of a Communication Network for Swarm Robotics 
Type: Master thesis or Bachelor thesis
Advisor: Wilfried Elmenreich

Communication plays a crucial role for an implementation of successful behaviour in the field of swarm robotics. The goal of the project is an implementation of a communication network for a large colony of robots. In the project you will set up and program an ESP8266 WiFi module for an Arduino system.

Design of a Bootloader for Programming of Robots in Swarm Applications  
Type: Bachelor thesis or Research project
Advisor: Sergii Zhevzhyk, Wilfried Elmenreich
Robotic swarms consist of many small robots accomplishing some complex tasks. Real experiments with such large colonies may be time consuming when some modifications of programs are needed. The idea of the project is to develop a bootloader for autonomous robots in order to simplify uploading of new or modified programs. The bootloader should communicate with autonomous robots via an ESP 8266 WiFi module and offer simple and understandable interface for uploading of a sketch.

Framework for evolutionary design and optimization tasks 
Type: Master thesis
FREVO is an open-source framework developed in Java to help engineers and scientists in evolutionary design or optimization tasks. The major feature of FREVO is the componentwise decomposition and separation of the key building blocks for each optimization tasks. We identify these as the problem definition, solution representation and the optimization method. This structure enables the components to be designed separately allowing the user to easily swap and evaluate different configurations and methods or to connect an external simulation tool. The intended work for the thesis can be done in one of the following two ways:
(i) implementation of a new problem domain within the framework and evaluate how well the neural controllers can be evolved to solve the task.
(ii) implementation a new representation for the controller (e.g. Spiking Neural Networks) and apply it to existing problem domain implementations.

Co-Evolve Adversaries in FREVO
Type: Master thesis
FREVO is an open-source framework developed in Java to help engineers and scientists in evolutionary design or optimization tasks. The major feature of FREVO is the componentwise decomposition and separation of the key building blocks for each optimization tasks. FREVO is used with the EU H2020 project CPSwarm.
In this thesis, FREVO should be extended by a functionality that tests a given algorithm by evolving adversary behavior in the evironmental simulation that is used to test the quality of the solution. This can range from a simple tryout of rendom seeds for the environment to find the one where the performance is worse up to applying a search algorithm (probably reusing the FREVO component for optimizing the candidate here) to find the configuration that is most problematic for the previously found algorithm.

Fitness landscape analysis
Type: Bachelor thesis
AdvisorWilfried Elmenreich
For a set of problems, the fitness landscape should be analyzed using a simulation approach. You should have a fair knowledge of Java and be interested in simulation.

Setting up a robot simulator
Type: Research project
Look into existing simulators and compare them based on their features.

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