Flying Flat Out: Fast Multirotor Flight Using Vision-Based Navigation in Real-World Environments

Abstract: Multirotor unmanned aerial vehicles (UAVs) are mechanically simple and highly maneuverable robots that are suitable to a wide range of applications such as infrastructure inspection, transportation, search-and-rescue missions, and mapping operations. To support these applications, my research vision is to expand reliable autonomous multirotor navigation beyond lab demonstrations to real-world environments.

Biography: Melissa Greeff joined Queens as an Assistant Professor in the department of Electrical and Computer Engineering and is a faculty affiliate with the Vector Institute for Artificial Intelligence. She obtained her BASc in Engineering Science and her PhD from the University of Toronto where she was a course instructor for Linear Algebra. Her research interests include aerial robots, vision-based navigation, and safe learning-based control. She has published in various international robotics and control systems venues including IEEE Robotics and Auto. Letters, Annual Review of Control, Robotics, and Autonomous Systems, ICRA, IROS and CDC. She has helped co-organize various workshops on safe robot learning and benchmarking at various international conferences.