Prof. Angela P. Schoellig

Assistant Professor

“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.”

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Postdoctoral Fellows



Mario Vukosavljev

PhD Electrical and Computer Engineering, University of Toronto

UAV swarms for robust task execution.


PhD Students



Felix Berkenkamp

MSc Mechanical Engineering, ETH Zurich

Provable algorithms for safe reinforcement learning and their applications to robotics (w/ Andreas Krause).


Chris McKinnon

MASc Aerospace Engineering, University of Toronto

Multi-context learning to allow robots to cope with large changes in the environment.


Karime Pereida Pérez

MEng Mechanical Engineering, University of New South Wales

Iterative learning control and transfer learning for quadrotors.



Thomas Bamford

BASc Mineral Engineering, University of Toronto

Applications of UAVs in the mining industry (w/ Kamran Esmaeili).


Melissa Greeff

BASc Engineering Science (Aerospace), University of Toronto

A vision-based path-following controller for UAVs during GPS-denied flight.


SiQi Zhou

BASc Engineering Science (Aerospace), University of Toronto

Neural networks for safe, high-performance robot maneuvers.


Adam Heins

BASc Mechatronics Engineering, University of Waterloo

Safe, probabilistic learning for robots.

Wenda Zhao

MASc Electrical and Control Engineering, Tongji University

Distributed heterogeneous sensor fusion for adaptive localization of quadrotors.


Masters Students



Carlos Luis

BASc Electronic Engineering, Simon Bolivar University

Distributed multi-robot coordination.


Keenan Burnett

BASc Engineering Science, University of Toronto

Development of a self-driving car for the SAE AutoDrive Challenge.


Bhavit Patel

BEng Electrical & Biomedical, McMaster University

Vision-based flight with an active gimballed camera.



Filip Medinac

BASc Mineral Engineering, University of Toronto

UAV applications in mining and slope stability (w/ Kamran Esmaeili).


Adam Hall

BScEng Engineering Physics, Queen’s University

Interactive perception for improved robotic manipulation of articulated objects.


Ke Dong

BEng Aerospace Engineering, Beihang University

Interactive learning of mobile manipulators.



Michael Sorocky

BASc Computer Engineering, University of Toronto

Robust indoor/outdoor localization for aerial vehicles.


Jeremy Wong

BASc Mechatronics Engineering, University of Waterloo

Vision-based localization of UAVs (w/ Tim Barfoot).


Sepehr Samavi

BASc Engineering Science, University of Toronto

Safe planning and control for an autonomous vehicle.



Sasan Vakili

MASc Software Engineering, McMaster University

Provably safe reinforcement learning.


Alan Li

BASc Engineering Science, University of Toronto

Transfer learning in 6D pose estimation of objects from camera images.


Mingliang Tang

BASc Mineral Engineering, University of Toronto

Application of UAVs in mining operations. (w/ Kamran Esmaeili).


AutoDrive Challenge Students


Zeus AutoDrive

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

  • Mohammad Nahangi, 2019, “Autonomous UAV monitoring of the construction progress in indoor environments.” Coadvised with Brenda McCabe.
  • Michael Warren, 2019, “Vision-based navigation of UAVs.” Coadvised with Tim Barfoot.
  • Mohamed Helwa, 2018, “Control design for safety-critical systems; safe, online learning of robots; transfer learning in robotics.”
  • Zachary Kroeze, 2018, “Localization, mapping, and control of an autonomous vehicle for the SAE AutoDrive Challenge.”

PhD Students

PhD Students

PhD Exchange Students

  • Juergen Scherer, 2019, “Multi-robot coordination for surveillance missions.”
  • Andriy Sarabakha, 2018, “Online adaptation with deep neural networks for high-performance autonomous flight.”

Masters Students

MASc Students

Masters Exchange Students

  • Michael Jakob, 2018, “Position and force control with redundancy resolution of mobile manipulators.”
  • Andreas Schimpe, 2018, “Predictive and reactive planning and control designs for self-driving cars.”
  • Julian Förster, 2018, “Disturbance prediction in a learning model predictive control context.”
  • Dave Kooijman, 2017, “High-precision tracking in changing environments through adaptive feedback and iterative learning.”
  • Yassine Nemmour, 2017, “Safe exploration in robotics using Gaussian process models.”
  • Andreas Hock, 2016, “Distributed iterative learning control for multi-agent systems.”
  • Felix Berkenkamp, 2014, “Learning-based robust control: robustness guarantees for learning systems.” link
  • Nicolas Degen, 2013, “Analytic comparison of norm-optimal iterative learning schemes.”

MEng Students

  • Jingyuan Hou, 2018, “C++ simulator for the crazyflie quadrotors: overview, implementation, and usage.”
  • Calvin Ngan, 2018, “Crazyflie drone platform and simulator.”
  • Michael Burghardt, 2015, “State estimation for indoor-to-outdoor flight of a quadrotor UAV.”

Undergraduate Students

Undergraduate Thesis

  • Adam El-Masri, 2018, “Simulation and experimentation systems for the AutoDrive challenge.”
  • Zane Huang, 2018, “Implementing a mapping application for self-driving cars.”
  • Ashkan Amirghassemi, 2018, “A robust stop line tracking algorithm for autonomous vehicles.”
  • Yushi Guan, 2018, “Location searching and road path planning for autonomous vehicles with improved intersection handling.”
  • Stewart Jamieson, 2018, “Deep learning for robust vision in real-time autonomous driving.”
  • Kevin Jen, 2018, “Robust systems design for autonomous vehicles.”
  • Chengzhi Liu, 2018, “Trajectory planning for autonomous vehicles in structured urban environments.”
  • Sepehr Samavi, 2018, “Lane detection for an autonomous vehicle.”
  • Aakash Goel, 2017, “Ballbot, an autonomous tennis ball collecting robot.”
  • SiQi Zhou, 2016, “Transformation between kinematic point and unicycle model for leader-follower formulation problems.”
  • Rakibur Rahman, 2016, “Analysis of the capabilities of the Intel RealSense camera.”
  • Masha Itkina, 2016, “Towards multi-agent learning.”
  • Spencer Richards, 2016, “Sensor fusion and state estimation for indoor-outdoor flight of an octocopter.”
  • YihTang Yeo, 2016, “Controller design for quadrotors with cable-suspended payload for fire-fighting missions.”
  • Adrian Esser, 2016, “Development of a programmable unmanned aerial vehicle for nuclear reactor face surveying.”
  • Tristan Laidlow, 2015, “A framework for real-time motion generation for aerial vehicles in response to musical signals.”
  • Xingbo Wang, 2014, “Physically interactive flying robots.”
  • Andreas Pfrunder, 2013, “Visual teach and repeat for autonomous quadrotor flight.”

Professional Experience Year

  • Xintong Du, 2018, “Crazyflie, multi-vehicle flight testbed.”

Summer Internship


Team at Work

University of Toronto Institute for Aerospace Studies