• Jacopo Panerati, 2022, “Safe learning-based control for robotics and physics-based simulation.”
• Karime Pereida, 2021, “Adaptive and learning controllers for high-accuracy trajectory tracking in changing conditions.”
• Mario Vukosavljev, 2019, “UAV swarms for robust task execution.”
• 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

• Melissa Greeff, 2022, “Flying flat out: fast multirotor flight using vision-based navigation in real-world environments.”
• SiQi Zhou, 2022, “Neural networks as add-on modules for improved performance of robot control systems.”
• Thomas Bamford, 2021, “Application of unmanned aerial systems to blast monitoring in open pit mines.” Coadvised with Kamran Esmaeili.
• Chris McKinnon, 2021, “Reliable path-tracking control for ground robots in changing conditions.”
• Karime Pereida, 2020, “Adaptive and learning controllers for high-accuracy trajectory tracking in changing conditions.”
• Felix Berkenkamp, 2019, “Safe exploration in reinforcement learning: theory and applications in robotics.” Coadvised with Andreas Krause.
• Mario Vukosavljev, 2019, “Modular framework for motion planning based on feedback-based motion primitives.” Coadvised with Mireille Broucke.
• Chris Ostafew, 2016, “Learning control for vision-based mobile robot path tracking in outdoor environments.” Coadvised with Tim Barfoot.

PhD Exchange Students

• Veronica Chatrath, 2023, “Probabilistic object-level change detection and localization.”
• Juergen Scherer, 2019, “Multi-robot coordination for surveillance missions.”
• Andriy Sarabakha, 2018, “Online adaptation with deep neural networks for high-performance autonomous flight.”

Master’s Thesis

• Ralf Römer, 2023, “The Role of Control Frequency for the Stability and Closed-Loop Performance of Uncertain Systems.”
• Tsung Yuan Tseng, 2023, “Benchmarking Learning-Based Control and Reinforcement Learning.”

MASc Students

• Vivek Adajania, 2023, “Safe Motion Planning of Quadrotor Swarms in Cluttered and Complex Environments.”
• Jacob Ridgway, 2023, “Towards the Design of Small, Inexpensive, Cable-Driven Dynamic Quadrupedal Robots.”
• Shichen Lu, 2023, “Vehicle motion prediction using locally conditioned trajectory sets.”
• Justin Yuan, 2022, “Benchmarking reinforcement learning for safe robotics: constraints, robustness and transfer.”
• Sepehr Samavi, 2021, “Accounting for unpredictability in autonomous driving behaviour.”
• Wei-Kang Tseng, 2021, “Self-Calibration of the offset between GPS and semantic map frames for robust localization.”  Coadvised with Tim Barfoot.
• Mingliang Tang, 2020, “Advances in heap leach pad surface moisture mapping using unmanned aerial vehicle technology and aerial remote sensing imagery.”  Coadvised with Kamran Esmaeili. 
• Jeremy Wong, 2020, “Data-driven parameter learning without groundtruth for improving robotic state estimation.”  Coadvised with Tim Barfoot. 
• Michael Sorocky, 2020, “System similarity, performance guarantees, and asymmetry in transfer learning for robotics.”
• Ke Dong, 2020, “High-speed motion generation for mobile manipulators.”  Coadvised with Florian Shkurti. 
• Filip Medinac, 2019, “Pit wall mapping and slope assessment using unmanned aerial vehicle (UAV) technology.”
• Keenan Burnett, 2019, “On the design and development of a self-driving car for the SAE AutoDrive Challenge.”
• Bhavit Patel, 2019, “Visual localization for UAVs in outdoor GPS-denied environments.”
• Carlos Luis, 2019, “Distributed trajectory generation for multiagent systems.”
• Rikky Duivenvoorden, 2016, “Quadrotor control in the presence of unknown mass properties.”
• Kaizad Raimalwala, 2015, “Transfer learning for robotics: can a robot learn from another robot’s data?”  Coadvised with Bruce Francis. 
• Chris McKinnon, 2015, “Data-driven, force-based interaction for quadrotors.”

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.”
• 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 Thesis

• Ali Mahdavifar, 2020, “Dynamic motion model for model predictive controller of aUToronto’s autonomous vehicle.”
• Samee Mahbub, 2020, “Optimal velocity profile generation with acceleration and jerk limits for autonomous driving.”
• Mollie Bianchi, 2019, “Development of a simulation environment for testing autonomous vehicles.” Coadvised with Tim Barfoot.
• Nian Jia Hua, 2019, “Implementing dynamic object detection and tracking.” Coadvised with Tim Barfoot.
• Tianchang Shen, 2019, “Video lane segmentation with temporal fusion.” Coadvised with Tim Barfoot.
• Zheng Yao, 2019, “Autonomous parking in angled spaces: path planningand control.” Coadvised with Tim Barfoot.
• Zichen Huang, 2019, “System architecture of autonomous vehicle operating in urban environment.” Coadvised with Tim Barfoot.
• Jingxing Qian, 2019, “Motion planning for autonomous vehicles in urban driving environments.” Coadvised with Tim Barfoot.
• Arkady Arkhangorodsky, 2019, “Designing a system for real-time traffic light and traffic sign detection.” Coadvised with Tim Barfoot.
• Xintong Du, 2019, “On integrated motion planning and control approach for self-driving urban vehicles.” Coadvised with Tim Barfoot.
• Zheng Chen, 2019, “Optimal turn-by-turn directions on road networks.” Coadvised with Tim Barfoot.
• Omar Rasheed, 2019, “uToronto autonomous vehicle – mechanical and electrical hardware design and assembly.” Coadvised with Tim Barfoot.
• 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

• Aoran Jiao, Anna-Mariya Korol, Sanjmi Khurana, Tanmay Patel, 2023.
• Michelangelo Fantini, Xinyuan Sam Qiao, Allen Tao, Spencer Teetaert, 2022.
• Dhruv Sirohi, Hshmat Sahak, James Xu, Kohava Mendelsohn, 2020.
• Muralidhar Andoorveedu, 2019.
• Stephanie Marton, 2018.
• Qiyang Li, Yizhou Huang, Quinlan Sykora, Xintong Du, 2017.
• Qiyang Li, Zining Zhu, Xuchan Bao, Jingxing Qian, Adrian Esser, 2016.
• Adrian Esser, Yilun Wu, 2015.
• Yuqing Tang, SiQi Zhou, Natasha Dalal, Rikky Duivenvoorden, Tristan Laidlow, Xingbo Wang, 2014.
• Jai Bansal, Ahmed Khan, Behzad Abghari, Tristan Laidlow, 2013.