Robotics and Perception

Open Opportunities

Exploring Adaptive Control Methods for High-Performance Quadrotor Control University of Zurich Robotics and Perception The goal of this project is to explore well-established adaptive control techniques combined with recent advances in machine learning for high-performance quadrotor control. Engineering and Technology, Information, Computing and Communication Sciences Master Thesis, Semester Project

An Open-Source Real-Time Event Camera Simulator for Robot Applications University of Zurich Robotics and Perception The goal of this project is to develop an open-source simulation framework to simulate different robot platforms with event cameras. Engineering and Technology, Information, Computing and Communication Sciences Bachelor Thesis, Semester Project

Self-Supervised Learning for Robotic Navigation University of Zurich Robotics and Perception Learning representations for navigation in a self-supervised manner. Artificial Intelligence and Signal and Image Processing Master Thesis

Deep Visual Odometry University of Zurich Robotics and Perception Investigate the usability of a learned visual odometry pipeline for quadrotor flight. Automotive Engineering, Mechanical and Industrial Engineering Master Thesis, Semester Project

Event-based Feature Tracking using Deep Learning University of Zurich Robotics and Perception Develop a robust feature detection and tracking method using only events from an event camera Computer Vision, Pattern Recognition Master Thesis

Implementation of Feature Detector, Tracker, Matcher on CUDA University of Zurich Robotics and Perception Implementation of Feature Detector, Tracker, Matcher on CUDA Computer Vision, Image Processing Master Thesis

Fly like a human pilot University of Zurich Robotics and Perception Teach a drone to fly like a human pilot. Mechanical Engineering Master Thesis, Semester Project

Sampling-Based High-Performance Motion Planner for Autonomous Drone Racing University of Zurich Robotics and Perception The goal of this project is to develop a sampling-based motion planning algorithm to plan time-optimal trajectories through a drone race circuit. Engineering and Technology, Information, Computing and Communication Sciences Master Thesis, Semester Project

Deep Learning Framework for Event Data University of Zurich Robotics and Perception Build a custom machine learning framework tailored to event-based data. Artificial Intelligence and Signal and Image Processing, Mathematical Software, Software Engineering Master Thesis

MPC for high speed trajectory tracking University of Zurich Robotics and Perception MPC for high speed trajectory tracking Flight Control Systems, Robotics and Mechatronics, Systems Theory and Control Master Thesis