Agile Robotics: from Cameras to Neuromorphic Sensors

Autonomous drones play a crucial role in inspection, agriculture, logistics, and search-and-rescue missions and promise to increase productivity by a factor of 10. However, they still lag behind human pilots in speed, versatility, and robustness. What does it take to fly autonomous drones as agile as or even better than human pilots? Autonomous, agile navigation through unknown, GPS-denied environments poses several challenges for robotics research regarding perception, learning, planning, and control. In this talk, I will show how the combination of model-based and machine-learning methods, united with the power of new, low-latency sensors, such as event cameras, can allow drones to achieve unprecedented speed and robustness by relying solely on onboard computing. This can result in better productivity and safety of future autonomous aircraft.

DAVIDE SCARAMUZZA

Davide Scaramuzza is a Professor of Robotics and Perception at the University of Zurich. He did his Ph.D. at ETH Zurich, a postdoc at the University of Pennsylvania, and was a visiting professor at Stanford University and NASA Jet Propulsion Laboratory. His research focuses on autonomous, agile navigation of mobile robots using standard and event-based cameras. He has made fundamental contributions to visual-inertial state estimation, autonomous vision-based agile navigation of micro flying robots, and low-latency perception with event cameras, which were transferred to many products, from drones to automobiles, cameras, AR/VR headsets, and mobile devices. In 2022, his team demonstrated that an AI-powered drone could outperform the world champions of drone racing. He received several awards, including a recent IEEE Technical Field Award, the elevation to IEEE Fellow, the IEEE Robotics and Automation Society Early Career Award, a European Research Council Consolidator Grant, a Google Research Award, and many paper awards. In 2015, he co-founded Zurich-Eye, today Meta Zurich, which developed the head-tracking software of the Meta Quest. In 2020, he co-founded SUIND, which builds autonomous drones for precision agriculture. Many aspects of his research have been featured in the media, such as The New York Times, The Guardian, The Economist, and Forbes.

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