Team

Faculty

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

 

mohamedhelwa

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.

mohammadnahangi

Mohammad Nahangi

PhD Civil Engineering, University of Waterloo

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

michaelwarren

Michael Warren

PhD, Queensland University of Technology

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

 

zachary

Zachary Kroeze

PhD Electrical and Computing Engineering, University of Toronto

Localization, mapping, and control of an autonomous vehicle for the SAE AutoDrive Challenge.

 

PhD Students

 

felixberkenkamp

Felix Berkenkamp

MSc Mechanical Engineering, ETH Zurich

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

chrismckinnon

Chris McKinnon

MASc Aerospace Engineering, University of Toronto

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

karimeperez

Karime Pereida Pérez

MEng Mechanical Engineering, University of New South Wales

Iterative learning control and transfer learning for quadrotors.

 

mariovukosavljev

Mario Vukosavljev

BASc Engineering Science (Aerospace), University of Toronto

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

thomasbamford

Thomas Bamford

BASc Mineral Engineering, University of Toronto

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

melissagreef

Melissa Greeff

BASc Engineering Science (Aerospace), University of Toronto

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

 

siqizhou

SiQi Zhou

BASc Engineering Science (Aerospace), University of Toronto

Neural networks for safe, high-performance robot maneuvers.

andriysarabakha

Andriy Sarabakha

MSc Artificial Intelligence and Robotics, Sapienza University of Rome

Learning control of unmanned aerial vehicles using artificial intelligence-based methods.

 

Masters Students

 

carlosluis

Carlos Luis

BASc Electronic Engineering, Simon Bolivar University

Distributed multi-robot coordination.

keenanburnett

Keenan Burnett

BASc Engineering Science, University of Toronto

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

bhavitpatel

Bhavit Patel

BEng Electrical & Biomedical, McMaster University

Vision-based flight with an active gimballed camera.

 

adamheins

Adam Heins

BASc Mechatronics Engineering, University of Waterloo

Safe probabilistic learning for robots.

filipmedinac

Filip Medinac

BASc Mineral Engineering, University of Toronto

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

michaeljakob

Michael Jakob

BEng Mechatronics Engineering, University of Applied Sciences Esslingen

Position and force control with redundancy resolution of mobile manipulators.

jingyuanhou

Jingyuan Hou

BASc Mechanical and Industrial Engineering, University of Toronto

Crazyflie simulator.

 

Undergraduate Students

 

xintongdu

Xintong Du

BASc Engineering Science (Robotics), University of Toronto

Crazyflie swarm testbed and formation flight.

stephaniemarton

Stephanie Marton

BASc Civil Engineering, University of Toronto

Determining the accuracy of indoor construction autonomous UAV progress monitoring.

 

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

PhD Students

Masters Students

MASc Students

Masters Exchange Students

  • 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

  • Calvin Ngan, 2018, “Crazyflie swarm testbed simulator.”

Undergraduate Students

Undergraduate Thesis

  • Ashkan Amirghassemi, 2017, “A robust stop line tracking algorithm for autonomous vehicles.”
  • Aakash Goel, 2017, “Ballbot, an autonomous tennis ball collecting robot.”
  • Yushi Guan, 2017, “Location searching and road path planning for autonomous vehicles with improved intersection handling.”
  • Stewart Jamieson, 2017, “Deep learning for robust vision in real-time autonomous driving.”
  • Kevin Jen, 2017, “Robust systems design for autonomous vehicles.”
  • Chengzhi Liu, 2017, “Trajectory planning for autonomous vehicles in structured urban environments.”
  • Sepehr Samavi, 2017, “Lane detection for an autonomous vehicle.”
  • 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