Davide Scaramuzza

Position:
Professor
Email:
Work phone:
+41446352409
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Davide Scaramuzza (born in 1980, Italian) is Professor of Robotics and Perception at both the departments of Informatics and Neuroinformatics of the University of Zurich and ETH Zurich, where he does research at the intersection of robotics and computer vision. He did his PhD in robotics and computer vision at ETH Zurich (with Roland Siegwart) and a postdoc at the University of Pennsylvania (with Vijay Kumar and Kostas Daniilidis). From 2009 to 2012, he led the European project “sFly”, which introduced the PX4 autopilot and pioneered the world’s first autonomous navigation of micro drones using visual-inertial SLAM and onboard computing (ICRA'10). For his research contributions, he was awarded the Misha Mahowald Neuromorphic Engineering Award, the IEEE Robotics and Automation Society Early Career Award, the SNSF-ERC Starting Grant ($1.5m, equivalent of NSF Career Award), a Google Research Award, and the European Young Research Award. In 2015, his lab received funding from the DARPA FLA Program, a three-year project dedicated to agile navigation of vision-controlled drones in unstructured and cluttered environments. He coauthored the book “Introduction to Autonomous Mobile Robots” (published by MIT Press) and more than 100 papers on robotics and perception. In 2015, he co-founded a venture, called Zurich-Eye, dedicated to the commercialization of visual-inertial navigation solutions for mobile robots, which became Facebook-Oculus VR Switzerland one year later. He was also the strategic advisor of Dacuda, an ETH spinoff dedicated to inside-out VR solutions, which became Magic Leap Zurich in 2017.

Teaching

DINF2039, 151-0632-00 Vision Algorithms for Mobile Robotics

Publications

2021

2019

  • Gallego, Guillermo and Delbruck, Tobi and Orchard, Garrick and Bartolozzi, Chiara and Taba, Brian and Censi, Andrea and Leutenegger, Stefan and Davison, Andrew and Conradt, Joerg and Daniilidis, Kostas and Scaramuzza, Davide Event-based Vision: A Survey, arXiv.org, 2019

2017