People
Angela Schoellig is an Alexander von Humboldt Professor for Robotics and Artificial Intelligence at the Technical University of Munich, an Associate Professor at the University of Toronto Institute for Aerospace Studies, and a Faculty Member of the Vector Institute. Her research combines robotics, control, and machine learning to improve robot performance, safety, and autonomy.
She previously held a Canada Research Chair (Tier 2) in Machine Learning for Robotics and Control and a Canada CIFAR Chair in Artificial Intelligence. Angela has received major recognitions including the Robotics: Science and Systems Early Career Spotlight Award (2019), a Sloan Research Fellowship (2017), and inclusion in MIT Technology Review’s Innovators Under 35 (2017). Her team is also a four-time champion of the North-American SAE AutoDrive Challenge (2018-21).
SiQi Zhou is an Assistant Professor in the School of Computing Science at Simon Fraser University. She previously worked as a Senior Scientist in the Learning Systems and Robotics Lab at the Technical University of Munich and completed her PhD at the University of Toronto Institute for Aerospace Studies (UTIAS) in 2022.
Her research develops mathematical and algorithmic foundations for safe robot decision-making, enabling robots to act reliably in unstructured environments and interact with humans. Her core interests include control theory, machine learning, and robot decision-making, with a focus on semantically safe robot behaviour. For recent work, see the project page and semanticcontrol.com
Lukas Brunke is a PhD candidate at the University of Toronto and a researcher at the Technical University of Munich and the Vector Institute working at the Learning Systems and Robotics Lab supervised by Prof. Angela Schoellig. His research focuses on safe decision-making in robotics, developing theoretical advances in safety-critical control and perception-based methods that leverage semantic understanding to ensure safe robot behavior.
Martin Schuck is a PhD candidate at the Learning Systems and Robotics (LSY) lab under Prof. Schoellig at the Technical University of Munich. His research interests focus on training reinforcement learning agents for real-world deployment and range from performant high-fidelity simulations to fundamental research on representation learning to solving complex real-world manipulation tasks. He is also actively involved in several scientific open-source projects.
Ralf Römer is a PhD candidate at the Learning Systems and Robotics at the Technical University of Munich, advised by Prof. Angela Schoellig. His research is on embodied AI, i.e., developing intelligent robots that can learn to safely perform complex tasks in the real world under changing and uncertain operating conditions. For this, Ralf is working on diffusion policies and vision-language-action models (VLAs), with a focus on uncertainty quantification, continual learning, and constraint satisfaction.
Oliver Hausdörfer is a 2nd year PhD candidate at Prof. Schoellig’s lab. He is interested to teach robot complex behaviors - from navigating rough environments to manipulating in household tasks.
Adam Hall is a PhD Candidate at the University of Toronto Institute for Aerospace Studies under Prof. Schoellig. His research explores how to combine machine learning with control theory to help robots safely improve their performance over time. Specifically, his research focuses on using differential flatness to improve the efficiency of learning-based control algorithms.
Haocheng Zhao is a Master Student major in Mechatronics and Robotics at the Technical University of Munich. His research interest lies in integrating model-based control with learning-based approaches to enable robots with more intelligent and reliable behavior, especially toward a deeper understanding and autonomous operation in complex environments.
Luca Worbis is a Master student in Electrical Engineering and Information Technology at the Technical University of Munich, focusing on robotics, AI, and control.
Feng-En Yeh is a second year Master student in Mechatronics, Robotics and Biomechanics Engineering at TUM and a research student at the Learning Systems and Robotics Lab. His research interests are reinforcement learning and robotic control for real-world deployment.