About Me

My name is Johannes Heeg. I recently joined the Robotics and Persception Group led by Davide Scaramuzza at the University of Zürich as a research assistant. I work on enabling full autonomy for drones through learning flexible policies that map visual inputs to control commands.

My goal is to create trustworthy, intelligent, and autonomous systems. Robots are fun, provide fascinating research challenges, and are about to prove extremely useful in various domains. In my free time, I like to sing and play music. I am a member of several ensembles and my favorite composer is J. S. Bach.



Task Space Exploration in Robot Reinforcement Learning, 2023
Master's Thesis supervised by Prof. Jan Peters, Ph.D. at Intelligent Autonomous Systems Group, TU Darmstadt

Modeling of Thermochemical Manifolds With Machine Learning Methods, 2020
Bachelor's Thesis supervised by Prof. Dr.-Ing. Christian Hasse at Simulation of Reactive Thermo-Fluid Systems, TU Darmstadt