Angela Schoellig

Prof. Angela Schoellig is the Alexander von Humboldt Professor for Robotics and Artificial Intelligence at the Technical University of Munich, where she leads the Learning Systems and Robotics Lab (formerly the Dynamic Systems Lab). She is a member of the Board of Directors at the Munich Institute of Robotics and Machine Intelligence (MIRMI) and serves as Coordinator of the Robotics Institute Germany (RIG). Previously, she was an Associate Professor at the University of Toronto and a Faculty Member of the Vector Institute for AI.

Her educational background includes a PhD from ETH Zurich (awarded the ETH Medal and Dimitris N. Chorafas Foundation Award), an M.Sc. in Engineering Cybernetics from the University of Stuttgart, and an M.Sc. in Engineering Science and Mechanics from Georgia Institute of Technology.

Prof. Schoellig's research focuses on enhancing robot performance, safety, and autonomy through learning systems that combine a-priori information with operational data. Her work addresses challenges in robots operating in unstructured, uncertain environments over long periods. Key research areas include Safe Robot Learning, Semantic Control for Robotics, Foundations of Robot Learning, Mobile Manipulation, and Mapping and Localization in Changing Environments. Her lab develops novel control and learning algorithms for single and multi-robot systems across aerial and ground applications.

Her scientific contributions have been recognized with numerous prestigious awards including the NSERC Arthur B. McDonald Fellowship, RSS Early Career Spotlight Award, Sloan Research Fellowship, and being named to MIT Technology Review's 35 Innovators Under 35.

• NSERC Arthur B. McDonald Fellowship (2022)
• Alexander von Humboldt Professor (2020)
• Four-time winner of North American SAE AutoDrive Challenge (2018-2021)
• RSS Early Career Spotlight Award (2019)
• Sloan Research Fellowship (2017)
• MIT Technology Review's 35 Innovators Under 35 (2017)

Prof. Schoellig actively mentors numerous PhD and Master's students, leads the University of Toronto's SAE/GM AutoDrive Challenge team, and serves as Faculty Advisor for the University of Toronto Aerospace Team. Her lab collaborates with various academic, industry, and government partners on real-world robotics applications including mining, self-driving vehicles, and aerial robotics. Current future research directions include Hardware and Software Co-Design, Autonomy through Deployment, and Learning with Contacts.