Angela P. Schoellig

Professor Angela P. Schoellig holds the Alexander von Humboldt Professorship for Robotics and Artificial Intelligence at Technical University of Munich (TUM) and is an Associate Professor at the University of Toronto Institute for Aerospace Studies (UTIAS), affiliated with the Vector Institute. Her research focuses on integrating robotics, control systems, and machine learning to enhance autonomous systems' performance, safety, and adaptability. She leads projects in autonomous drones, self-driving vehicles, and safe learning algorithms. Schoellig is a recipient of prestigious awards including the Robotics: Science and Systems Early Career Spotlight Award (2019), Sloan Fellowship (2017), and recognition as an MIT Innovator Under 35 (2017).

Educational Background:

• PhD in Robotics from ETH Zurich (2013), awarded ETH Medal and Chorafas Foundation Prize
• M.Sc. in Engineering Cybernetics from University of Stuttgart (2008)
• M.Sc. in Engineering Science and Mechanics from Georgia Institute of Technology (2007)

Key Roles & Activities:

• Principal Investigator, NSERC Canadian Robotics Network
• Four-time winner (2018–21) of the SAE AutoDrive Challenge with the U of T team
• Associate Director, Centre for Aerial Robotics Research and Education (CARRE)
• Editor, International Journal of Robotics Research

Research Themes:

Her work emphasizes safe learning in dynamic environments, including delivery drones for remote regions, pollution monitoring, and medical AED delivery. She develops algorithms for robust control under uncertainty, with applications in mining, healthcare, and autonomous vehicles. Notable projects include winter-optimized autonomous driving (WinTOR initiative) and UWB-based localization systems.

Awards & Honors:

• Mitigates risks in learning systems through safety filters and constraint-aware algorithms
• Pioneer in swarm robotics and language-driven choreography for drone coordination
• Advances reproducibility in robotics with benchmarks like safe-Control-Gym

Grants & Collaborations:

• Infineon Stiftungslehrstuhl for "Safety, Performance and Reliability of Learning Systems"
• Industry partnerships with aerospace, transport, and energy sectors

Labs & Teams:

Leads the Dynamic Systems Lab at TUM and advises U of T’s SAE/GM AutoDrive Challenge team and UTAT Aerospace Team, fostering student innovation in autonomous systems.