Robotics and Perception

Open Opportunities

Reinforcement Learning for Drone Racing University of Zurich Robotics and Perception Reinforcement Learning for Drone Racing Engineering and Technology, Information, Computing and Communication Sciences Semester Project

3rd Person View Imitation Learning University of Zurich Robotics and Perception The project aims to develop machine learning based techniques that will enable a drone to learn flying by looking at an other robot flying. Intelligent Robotics Bachelor Thesis, Master Thesis, Semester Project

Safe Reinforcement Learning for Robotics University of Zurich Robotics and Perception During this project, we will develop machine learning based techniques to let a (real) drone learn to fly nimbly through gaps and gates, while minimizing the risk of critical failures and collisions. Intelligent Robotics Master Thesis, Semester Project

Safe Simulation to Real World Transfer University of Zurich Robotics and Perception The project aims to develop techniques based on machine learning to have maximal knowledge transfer between simulated and real world on a navigation task. Intelligent Robotics Bachelor Thesis, Master Thesis, Semester Project

3D reconstruction with event cameras University of Zurich Robotics and Perception This project will explore the application of event camera setups for scene reconstruction Information, Computing and Communication Sciences Master Thesis, Semester Project

Event-based depth estimation​ University of Zurich Robotics and Perception This project will focus on event-based depth estimation using structured light systems. Information, Computing and Communication Sciences Master Thesis, Semester Project

Event camera calibration University of Zurich Robotics and Perception This work will address intrinsic calibration of event cameras, a fundamental problem for application of event cameras to many computer vision tasks Artificial Intelligence and Signal and Image Processing, Computer Software Bachelor Thesis, Master Thesis, Semester Project

Learning features for efficient deep reinforcement learning University of Zurich Robotics and Perception Recent work has shown that it is possible to learn temporally and geometrically aligned keypoints given only videos. Engineering and Technology, Information, Computing and Communication Sciences Master Thesis, Semester Project

Brain-Body-Drone Interface University of Zurich Robotics and Perception Brain-Body-Drone Interface Behavioural and Cognitive Sciences, Intelligent Robotics, Neurosciences Master Thesis, Semester Project

Visual-inertial odometry and Event dataset for Drone Racing University of Zurich Robotics and Perception Visual-inertial odometry and Event dataset for Drone Racing Computer Vision, Intelligent Robotics Master Thesis, Semester Project