Davide Scaramuzza


Sponsored by the late Dr. Kiyo Tomiyasu, the IEEE Geoscience and Remote Sensing Society, and the IEEE Microwave Theory and Techniques Society

For contributions to agile visual navigation of micro drones and low-latency robust perception with event cameras

Davide Scaramuzza is an international authority in the field of robotics, specifically in agile visual navigation for micro drones and robust perception using event cameras on low-latency systems. His research has been instrumental in enhancing the autonomy, agility, decision-making, and safety capabilities of modern flying robots and autonomous systems. He pioneered autonomous, vision-based navigation of drones, which inspired the navigation algorithm of the NASA Mars helicopter. And, in 2022, his team demonstrated that an AI-controlled, vision-based drone could outperform the world champions of drone racing. His work at the intersection of traditional robotics theory and visual navigation techniques has translated to innovative commercial products that have real-world impact and generate new value for society.

An IEEE Senior Member, Scaramuzza is Professor and Director of the Robotics and Perception Group, University of Zurich, Zurich, Switzerland.