Robotics and PerceptionOpen OpportunitiesThis 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
| This project focuses on using RL to learn quadrotor policies to fly at high speeds in complex tracks, directly from features.
- Intelligent Robotics, Robotics and Mechatronics
- Master Thesis
| This master thesis project focuses on advancing 3D scene understanding through the integration of segmentation and object detection techniques within Neural Radiance Fields (NeRFs). - Computer Vision, Intelligent Robotics
- Master Thesis, Semester Project
| This project is focused on developing a vision-only flight recovery system for autonomous drones. A critical capability for autonomous drones is to recover safely from any unstable state. This project explores the potential of using reinforcement learning to enable a drone to transition from an unstable to a stable state, using only vision sensors. The challenge lies in creating a system that not only stabilizes the drone but also ensures it can safely land in various unforeseen scenarios.
- Intelligent Robotics, Robotics and Mechatronics
- Master Thesis, Semester Project
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