Faculty
Prof. Angela P. Schoellig
Alexander von Humboldt Professor for Robotics and Artificial Intelligence
“I am excited about robotics, controls and machine learning, and any novel sensing and computing technology that enables us to design robotic systems that interact with the world and with us.”
Postdoctoral Fellows
Utku Çulha
Dr.Sc. Mechanical and Process Engineering, ETH Zurich
Physically adaptive robots and process automation.
Alexander von Rohr
M.Sc. Computer Science, University of Lübeck
Probabilistic models for optimization and control.
PhD Students
Adam Heins
BASc Mechatronics Engineering, University of Waterloo
Robust mobile manipulation for robotic pushing and nonprehensile object transportation.
Wenda Zhao
MASc Electrical and Control Engineering, Tongji University
Robust and accurate indoor localization for multi-agent systems.
Alan Li
BASc Engineering Science, University of Toronto
Transfer learning in 6D pose estimation of objects from camera images.
Keenan Burnett
MASc Aerospace Engineering, University of Toronto
Development of a self-driving car for the SAE AutoDrive Challenge (with Tim Barfoot).
Lukas Brunke
M.Sc. Mechatronics, Hamburg University of Technology
Safe learning-based control under uncertainties.
Adam Hall
BScEng Engineering Physics, Queen’s University
Exploiting properties of differentially flat systems to improve safe learning-based control (with Jonathan Kelly).
Sepehr Samavi
MASc Aerospace Engineering, University of Toronto
Learned planning and control for navigating interactive scenarios (with Florian Shkurti).
Abhishek Goudar
MS Robotics Systems Development, Carnegie Mellon University
Sensor fusion for indoor localization on computationally constrained platforms.
Federico Pizarro Bejarano
BASc Engineering Science, University of Toronto
Certification of the safety of model-free reinforcement learning controllers.
Martin Schuck
M.Sc. Electrical Engineering, TU Munich
Combining language models with reinforcement learning and robotics.
Shambhuraj Sawant
MSc Mechanical Engineering, TU Delft
Safe reinforcement learning and model predictive control.
Ralf Römer
M.Sc. Electrical and Computer Engineering, TU Munich
Learning for vision-based planning and control in uncertain dynamic environments.
Tsung Yuan Tseng
M.Sc. Robotic System Engineering, RWTH Aachen University
Efficient risk-averse Bayesian optimization for robot learning.
Oliver Hausdörfer
M.Sc. Mechatronics and Robotics, TU Munich
Deep reinforcement learning for complex robots and real-world interactions.
Masters Students
Nicoló Musolesi
B.Sc. Aerospace Engineering, University of Bologna
Mingxuan Che
B.Sc Mechanical Engineering, Beijing Institute of Technology
Quantifying Prior Knowledge in Learning-based Control and Reinforcement Learning.
Yanni Zhang
B.Sc. Opto-Electronics Information Science and Engineering, Beijing Institute of Technology
Semantic safety filter for robot manipulation.
AutoDrive Challenge Students
aUToronto Team
University of Toronto
Development of a self-driving car for the SAE/GM AutoDrive Challenge. Meet the AutoDrive team.
Former Students of the Dynamic Systems Lab
Postdoctoral Fellows
PhD Students
Masters Students
Undergraduate Students
Team Photos