Faculty of Business, Economics and InformaticsOpen OpportunitiesUse Inverse Reinforcement Learning (IRL) to learn reward functions from previous expert drone demonstrations. - Engineering and Technology, Intelligent Robotics
- Master Thesis, Semester Project
| Explore the use of large vision language models to control a drone. - Engineering and Technology, Intelligent Robotics
- Master Thesis, Semester Project
| Learn complex drone maneuvers from human feedback using Reinforcement Learning (RL). - Engineering and Technology, Intelligent Robotics
- Master Thesis, Semester Project
| This project focuses on developing robust reinforcement learning controllers for agile drone navigation using adaptive curricula. Commonly, these controllers are trained with a static, pre-defined curriculum. The goal is to develop a dynamic, adaptive curriculum that evolves online based on the agents' performance to increase the robustness of the controllers. - Engineering and Technology
- Master Thesis, Semester Project
| This project focuses on utilizing various techniques for Video to Events generation. - Computer Vision
- Master Thesis
| gpuFlightmare: High-Performance GPU-Based Physics Simulation and Image Rendering for Flying Robots - Engineering and Technology
- Master Thesis, Semester Project
| Fly like a bird - Engineering and Technology
- Master Thesis, Semester Project
| Visual Representation Learning for Efficient Deep Reinforcement Learning
- Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis, Semester Project
| This master thesis project centers on the development of a foundation model for drone navigation within confined spaces such as ballast tanks of ships. - Computer Vision, Intelligent Robotics
- Master Thesis, Semester Project
| Develop an end-to-end learning-based approach for autonomous drone navigation in ship ballast tank manholes, incorporating both real and simulated training data. The project aims to emphasize speed, a high success rate, and safety in flying through the confined spaces of ship interiors. - Computer Vision, Intelligent Robotics
- Master Thesis, Semester Project
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