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Multi Input CNN with Thermal Camera and Lidar Localization

This thesis investigates the machine learning (ML) methods for solving the problem of localization. The ML approach will be used for pose estimation using dense matching rather than local features to deal with texture less environments.

$!userInfo.givenName Shervin Behzad Far

Shervin Behzad Far, - Master student

Cooperative Navigation of Spacecrafts in proximity of small bodies

The aim of this master thesis will be to develop and test various navigation and control algorithms in simulation and experimentation for addressing the following objectives:
- SLAM in space based on one satellite around a small body
- Path planning in space and visual feature detection and following
- Small and large-scale experimentation
- Extensions to multiple satellites based visual coverage of a small body

$!userInfo.givenName Vignesh Kottayam Viswanathan

Vignesh Kottayam Viswanathan, - Master student

Development, Control and Investigation of a Robotic Exoskeleton for Astronaut Back Support

The purpose of this master thesis is to design, develop, control and investigate the use of a back exoskeleton via the use of compliant actuators for providing adjustable operation in terms of assistance and resistance during use. Using a combination of rigid and compliant mechanisms that support the back’s natural motion, while providing an adjustable force exertion level, the exoskeleton will be able to either enable the reduction of energy exertion, loading and fatigue during post-travel rehabilitation.

Evert Häggman, - Master student

Design, Modeling and Control of a Thrust Based UAV

The aim of this Master thesis is the design, modeling, simulation and control of such futuristic thrust based Unmanned Floating Vehicles – UVFs that will be specifically deployed for zero or close to zero atmospheres. The thesis will contain work in the following directions:
• CFD for real time and realistic design and simulations
• modeling, simulation and control of the novel small thruster-based robotic agent, for applications in low-gravity and zero-atmosphere conditions (Asteroids etc.)
• Autonomous path planning, exploration, and obstacle avoidance in unknown complex environments (caves, voids, etc.)

$!userInfo.givenName Enrico Giacomini

Enrico Giacomini, - Master student

Detect Anomalies in Shapes Using Machine Learning Techniques

Anomalies are deviations from a specific pattern or behavior in data and Anomaly Detection refers to the task of finding these anomalies. The forestry and wood industry have a lot of outgoing shipments of wood. Quality control of the shipments is a vital part. In this thesis the anomaly detection methods will be evaluated to guarantee the quality of outgoing shipments.

Jonathan Olsson , - Master student

Multi Agent Exploration with Reinforcement Learning

The goal of this thesis is to develop Reinforcement Learning framework for exploration and navigation of team of robots in unknown environments.

$!userInfo.givenName Alkis Sigkounas

Alkis Sigkounas, - Master student

Docking mechanism design and development, detection and guidance for space robots

This work aims the development of a novel docking mechanism for space robots, while implementing detection and approach capabilities for the robot to the docking mechanism using vision-based guidance.

$!userInfo.givenName Tommaso Gasparetto

Tommaso Gasparetto, - Master student

Samples of Master thesis proposals

If you are interested to make a Master thesis with us please contact Prof. George Nikolakopoulos. We would like to discuss your ideas with you and build a customised thesis that will fit your ambition 100%. Some samples of Master Thesis can be found bellow.