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


Mohamed Helwa

PhD Electrical and Computer Engineering, University of Toronto

Control design for safety-critical systems; safe, online learning of robots; transfer learning in robotics.

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Mohammad Nahangi

PhD Civil Engineering, University of Waterloo

Autonomous UAV monitoring of the construction progress in indoor environments (w/ Brenda McCabe).

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PhD Students


Felix Berkenkamp

MSc Mechanical Engineering, ETH Zurich

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

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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.



Mario Vukosavljev

BASc Engineering Science (Aerospace), University of Toronto

Modular framework for motion planning based on feedback-based motion primitives (w/ Mireille Broucke).


Masters Students


Thomas Bamford

BASc Mineral Engineering, University of Toronto

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


Rikky Duivenvoorden

MASc Aerospace Engineering, University of Toronto

Quadrotor control in the presence of unknown mass properties.

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Melissa Greeff

BASc Engineering Science (Aerospace), University of Toronto

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



Dave Kooijman

BEng Electrical Engineering, Eindhoven University of Technology

High-precision tracking in changing environments through adaptive feedback and iterative learning.


Yassine Nemmour

BSc Mechanical Engineering, ETH Zürich

Safe exploration in robotics using Gaussian process models.


SiQi Zhou

BASc Engineering Science (Aerospace), University of Toronto

Neural networks for safe, high-performance robot maneuvers.


Undergraduate Students


Adrian Esser

BASc Engineering Science (Aerospace), University of Toronto

Automatic on-the-ground wind stabilization system for a hybrid aerial vehicle.


Aakash Goel

BASc Electrical and Computer Engineering, University of Toronto

Ballbot, an autonomous tennis ball collecting robot.


Former Students of the Dynamic Systems Lab

PhD Students

Masters Students

  • Andreas Hock, 2016, “Distributed iterative learning control for multi-agent systems.”
  • Kaizad Raimalwala, 2015, “Transfer learning for robotics: can a robot learn from another robot’s data?” link Coadvised with Prof. B. Francis.
  • Chris McKinnon, 2015, “Data-driven, force-based interaction for quadrotors.” link
  • Felix Berkenkamp, 2014, “Learning-based robust control: robustness guarantees for learning systems.”

Undergraduate Students

Undergraduate Thesis

  • SiQi Zhou, 2016, “Transformation between kinematic point and unicycle model for leader-follower formation 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.”

Summer Internship


Team at Work

University of Toronto Institute for Aerospace Studies