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Extracting simple rules from deep reinforcement learning building control polices Empa ehub In this work, we would like to derive simple control rules from the existing building control polices obtained using deep reinforcement learning. Engineering and Technology, Information, Computing and Communication Sciences Master Thesis
Deep reinforcement learning based occupant centered control Empa ehub In this work, we would like to integrate real-time feedback of occupants at one of the apartments at NEST into our DRL pipeline to obtain the occupant-centred control policy. Engineering and Technology, Information, Computing and Communication Sciences Master Thesis
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
Online Feedback Optimization for Load Sharing of Gas Compressors ETH Zurich Automatic Control Laboratory We want to apply the novel class of Online Feedback Optimization Controllers to minimise the curtailment of renewable generation. The advantage of these controllers is that they do not track a reference point, but rather drive the system to an optimal point defined by an optimization problem. Electrical Engineering, Industrial Engineering Bachelor 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
Augmented Reality for User Guidance during Complex Maintenance Tasks ETH Zurich pd\|z Product Development Group Zurich The project aims at the development and evaluation of an Augmented Reality (AR) application to guide operators through a complex train maintenance procedure. Engineering and Technology Master Thesis
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

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