We deliver cutting-edge solutions to push the limits of autonomous drone racing performance.
Direct Sparse Odometry at High Speed
We optimize Direct Sparse Odometry (DSO) for high-speed drone racing, enhancing performance and accuracy for precise navigation in dynamic environments.
ADR Wins Best Paper Award on UAVs at ICRA
Our paper “Time-Optimal Gate-Traversing Planner for Autonomous Drone Racing” won the prestigious Best Paper Award in ICRA 2024, held in Yokohama, Japan.
Upcoming Competition
We’re thrilled to compete in the Abu Dhabi Autonomous Racing League (A2RL) in April 2025, one of the world’s premier extreme autonomous racing competitions. In this high-stakes event, 20 teams from around the globe will push the boundaries of AI-driven drone technology as they race for a $1 million prize.
Get startedTotal Solution in one
We offer a wide range of innovative solutions in autonomous drone racing, pushing the limits of technology and performance to achieve excellence.
AI & Control
Developing advanced algorithms to ensure precise control and autonomous decision-making, enabling drones to navigate complex environments at high speeds.
Localization
Focusing on real-time positioning, this team ensures drones accurately track their location and orientation to navigate through challenging race courses with precision.
Amazing Team
ADR is a cutting-edge robotics team at the University of Toronto, driving innovation in autonomous drone racing with AI-powered UAVs designed to outperform human pilots.
Team Supervisor
Prof. Hugh H.-T. Liu
Team Supervisor
Prof. Angela Schoellig
Team Principal
Chao Qin, PhD
Competition Lead
Wenda Zhao, PhD
Competition Lead
Ivan Lin, BASc
AI Research Lead
Avid Eslami, BASc
Competition Lead
Harry Chen, BASc
Competition Lead
Joshua Choi, BASc
Localization Research Lead
Frank Shi, BASc
Marketing Lead
Mike Zhang, BASc
Latest News & Articles
Don’t just take our word for it—our results speak for themselves. Want to see how our drones perform? Check out what others are saying about us!
ADR Advances in Abu Dhabi: Qualifying for the Autonomous Drone Challenge
Over the past two weeks, the ADR competition team has taken a major step forward, participating in the 3rd round of qualifications for the A2RL x DCL - Drone Champions League Autonomous Drone Challenge in Abu Dhabi!
Read MoreSimulation Development
In July we began modifying a simulator - FlightGoggles developed by MIT. The simulator utilized the Unity engine with ray tracing, which enabled rendering of photorealistic images that can be used for perception algorithm development. Our modification allowed us to add custom gates to the scene, as well as a thirst-person view mode that can visualize light trail of the drone flying through a trajectory.
Read MoreAutonomous Drone Racing in the UTIAS MarsDome
The ADR team is thrilled to announce our latest milestone: the successful autonomous drone racing within the UTIAS MarsDome. As we gear up for the world’s largest autonomous drone racing competition in April 2025 in Abu Dhabi, the MarsDome will serve as our primary training ground. Here, we will refine our strategies, test new innovations, and continue to push the limits of what’s possible in autonomous drone racing.
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