Angela Schoellig
Appointment
Canada CIFAR AI Chair (on leave)
Pan-Canadian AI Strategy
About
Appointed Canada CIFAR AI Chair – 2019
Angela Schoellig is a Canada CIFAR AI Chair at the Vector Institute and an associate professor at the Institute for Aerospace Studies at the University of Toronto. She is a principal investigator of the NSERC Canadian Robotics Network and of the University’s Robotics Institute, and associate director at the Center for Aerial Robotics Research and Education (CARRE).
Schoellig conducts research at the intersection of robotics, controls, and machine learning. Her goal is to enhance the performance, safety, and autonomy of robots by enabling them to learn from past experiments and from each other.
Awards
- Alexander von Humboldt Professorship, 2021
- Best Paper Award Conference on Computer and Robot Vision, 2019
- Robotics: Science and Systems Early Career Spotlight Award, 2019
- First Place, AutoDrive Challenge, (2018, 2019, 2020)
- MIT 35 Innovators Under 35, 2017
Relevant Publications
Berkenkamp, F., Turchetta, M., Schoellig, A. P., & Krause, A. (2017). Safe model-based reinforcement learning with stability guarantees.
Ostafew, C. J., Schoellig, A. P., Barfoot, T. D., & Collier, J. (2016). Learning‐based nonlinear model predictive control to improve vision‐based mobile robot path tracking. Journal of Field Robotics, 33(1), 133-152.
Berkenkamp, F., Schoellig, A. P., & Krause, A. (2016). Safe controller optimization for quadrotors with Gaussian processes. In 2016 IEEE International Conference on Robotics and Automation (ICRA) (pp. 491-496). IEEE.
Lupashin, S., Hehn, M., Mueller, M. W., Schoellig, A. P., Sherback, M., & D’Andrea, R. (2014). A platform for aerial robotics research and demonstration: The flying machine arena. Mechatronics, 24(1), 41-54.
Lupashin, S., Schöllig, A., Sherback, M., & D’Andrea, R. (2010). A simple learning strategy for high-speed quadrocopter multi-flips. In 2010 IEEE international conference on robotics and automation (pp. 1642-1648). IEEE.